Relevant bibliographies by topics / Vehicle dynamic control

Academic literature on the topic 'Vehicle dynamic control'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Vehicle dynamic control"

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Ansari, Uzair, and Abdulrahman H. Bajodah. "Robust generalized dynamic inversion based control of autonomous underwater vehicles." Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 232, no. 4 (May 27, 2017): 434–47. http://dx.doi.org/10.1177/1475090217708640.

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A novel two-loop structured robust generalized dynamic inversion–based control system is proposed for autonomous underwater vehicles. The outer (position) loop of the generalized dynamic inversion control system utilizes proportional-derivative control of the autonomous underwater vehicle’s inertial position errors from the desired inertial position trajectories, and it provides the reference yaw and pitch attitude angle commands to the inner loop. The inner (attitude) loop utilizes generalized dynamic inversion control of a prescribed asymptotically stable dynamics of the attitude angle errors from their reference values, and it provides the required control surface deflections such that the desired inertial position trajectories of the vehicle are tracked. The dynamic inversion singularity is avoided by augmenting a dynamic scaling factor within the Moore–Penrose generalized inverse in the particular part of the generalized dynamic inversion control law. The involved null control vector in the auxiliary part of the generalized dynamic inversion control law is constructed to be linear in the pitch and yaw angular velocities, and the proportionality gain matrix is designed to guarantee global closed-loop asymptotic stability of the vehicle’s angular velocity dynamics. An additional sliding mode control element is included in the particular part of the generalized dynamic inversion control system, and it works to robustify the closed-loop system against tracking performance deterioration due to generalized inversion scaling, such that semi-global practically stable attitude tracking is guaranteed. A detailed six degrees-of-freedom mathematical model of the Monterey Bay Aquarium Research Institute autonomous underwater vehicle is used to evaluate the control system design, and numerical simulations are conducted to demonstrate closed-loop system performance under various types of autonomous underwater vehicle maneuvers, under both nominal and perturbed autonomous underwater vehicle system’s mathematical model parameters.
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Vu, Trieu Minh, Reza Moezzi, Jindrich Cyrus, and Jaroslav Hlava. "Model Predictive Control for Autonomous Driving Vehicles." Electronics 10, no. 21 (October 24, 2021): 2593. http://dx.doi.org/10.3390/electronics10212593.

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The field of autonomous driving vehicles is growing and expanding rapidly. However, the control systems for autonomous driving vehicles still pose challenges, since vehicle speed and steering angle are always subject to strict constraints in vehicle dynamics. The optimal control action for vehicle speed and steering angular velocity can be obtained from the online objective function, subject to the dynamic constraints of the vehicle’s physical limitations, the environmental conditions, and the surrounding obstacles. This paper presents the design of a nonlinear model predictive controller subject to hard and softened constraints. Nonlinear model predictive control subject to softened constraints provides a higher probability of the controller finding the optimal control actions and maintaining system stability. Different parameters of the nonlinear model predictive controller are simulated and analyzed. Results show that nonlinear model predictive control with softened constraints can considerably improve the ability of autonomous driving vehicles to track exactly on different trajectories.
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Noei, Shirin, Mohammadreza Parvizimosaed, and Mohammadreza Noei. "Longitudinal Control for Connected and Automated Vehicles in Contested Environments." Electronics 10, no. 16 (August 18, 2021): 1994. http://dx.doi.org/10.3390/electronics10161994.

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The Society of Automotive Engineers (SAE) defines six levels of driving automation, ranging from Level 0 to Level 5. Automated driving systems perform entire dynamic driving tasks for Levels 3–5 automated vehicles. Delegating dynamic driving tasks from driver to automated driving systems can eliminate crashes attributed to driver errors. Sharing status, sharing intent, seeking agreement, or sharing prescriptive information between road users and vehicles dedicated to automated driving systems can further enhance dynamic driving task performance, safety, and traffic operations. Extensive simulation is required to reduce operating costs and achieve an acceptable risk level before testing cooperative automated driving systems in laboratory environments, test tracks, or public roads. Cooperative automated driving systems can be simulated using a vehicle dynamics simulation tool (e.g., CarMaker and CarSim) or a traffic microsimulation tool (e.g., Vissim and Aimsun). Vehicle dynamics simulation tools are mainly used for verification and validation purposes on a small scale, while traffic microsimulation tools are mainly used for verification purposes on a large scale. Vehicle dynamics simulation tools can simulate longitudinal, lateral, and vertical dynamics for only a few vehicles in each scenario (e.g., up to ten vehicles in CarMaker and up to twenty vehicles in CarSim). Conventional traffic microsimulation tools can simulate vehicle-following, lane-changing, and gap-acceptance behaviors for many vehicles in each scenario without simulating vehicle powertrain. Vehicle dynamics simulation tools are more compute-intensive but more accurate than traffic microsimulation tools. Due to software architecture or computing power limitations, simplifying assumptions underlying convectional traffic microsimulation tools may have been a necessary compromise long ago. There is, therefore, a need for a simulation tool to optimize computational complexity and accuracy to simulate many vehicles in each scenario with reasonable accuracy. This research proposes a traffic microsimulation tool that employs a simplified vehicle powertrain model and a model-based fault detection method to simulate many vehicles with reasonable accuracy at each simulation time step under noise and unknown inputs. Our traffic microsimulation tool considers driver characteristics, vehicle model, grade, pavement conditions, operating mode, vehicle-to-vehicle communication vulnerabilities, and traffic conditions to estimate longitudinal control variables with reasonable accuracy at each simulation time step for many conventional vehicles, vehicles dedicated to automated driving systems, and vehicles equipped with cooperative automated driving systems. Proposed vehicle-following model and longitudinal control functions are verified for fourteen vehicle models, operating in manual, automated, and cooperative automated modes over two driving schedules under three malicious fault magnitudes on transmitted accelerations.
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Song, Hui Xin, Cui Fen Li, You Shan Hou, Chao Wang, and Chun Ming Shao. "Research on Vehicle Height Dynamic Control." Advanced Materials Research 791-793 (September 2013): 672–75. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.672.

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In order to achieve the target of control vehicle height in running state,we designed a control schematic of which practicability was analyzed. By using AMEsim software, we established the mathematical model of the charging and releasing oil to simulate the performance of a 1/4 vehicle with hydro-pneumatic suspension. From the result, we get the conclusion that charging and releasing oil in running state has tiny effect on ride comfort, and stability of the vehicles.
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Lun, Guan De, Yan Cong Liu, Peng Yi, and Yang Qu. "Design of Dynamic Control on Underwater Vehicle." Applied Mechanics and Materials 138-139 (November 2011): 333–38. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.333.

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Considering the effects in the gravity, buoyancy, thrust and hydrodynamic on the underwater vehicle, based on the perspective of the dynamic control, established a relatively complete dynamic model of underwater vehicle, analyzed and designed the control system on this base. The control system is consisted of two control loop. Dynamic compensation of the within control loop based on the dynamic characteristic of the vehicle, by the role of the within control loop, the vehicle became an easy to control and a decoupled linear system. Outer control loop achieved a negative feedback control through the use of proportional and differential item on the actual vehicle pose and the posture deviation expected. Adjusted by adjusting the parameter matrix Kd, Kpcan get the desired attenuation of the error, which can achieve precise motion control of underwater vehicles. Simulation results show that: the control model, in the paper, can be built for dynamic control of underwater vehicles, there is a strong anti-interference ability, can better realize the theory of time-varying trajectory tracking.
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Popelysh, Denys, Yurii Seluk, and Sergyi Tomchuk. "TO THE STABILITY OF TANK VEHICLES IN THE BRAKE MODE." Avtoshliakhovyk Ukrayiny, no. 1 (257)’ 2019 (March 29, 2019): 27–32. http://dx.doi.org/10.33868/0365-8392-2019-1-257-27-32.

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This article discusses the question of the possibility of improving the roll stability of partially filled tank vehicles while braking. We consider the dangers associated with partially filled tank vehicles. We give examples of the severe consequences of road traffic accidents that have occurred with tank vehicles carrying dangerous goods. We conducted an analysis of the dynamic processes of fluid flow in the tank and their influence on the basic parameters of the stability of vehicle. When transporting a partially filled tank due to the comparability of the mass of the empty tank with the mass of the fluid being transported, the dynamic qualities of the vehicle change so that they differ significantly from the dynamic characteristics of other vehicles. Due to large displacements of the center of mass of cargo in the tank there are additional loads that act vehicle and significantly reduce the course stability and the drivability. We consider the dynamics of liquid sloshing in moving containers, and give examples of building a mechanical model of an oscillating fluid in a tank and a mathematical model of a vehicle with a tank. We also considered the method of improving the vehicle’s stability, which is based on the prediction of the moment of action and the nature of the dynamic processes of liquid cargo and the implementation of preventive actions by executive mechanisms. Modern automated control systems (anti-lock brake system, anti-slip control systems, stabilization systems, braking forces distribution systems, floor level systems, etc.) use a certain list of elements for collecting necessary parameters and actuators for their work. This gives the ability to influence the course stability properties without interfering with the design of the vehicle only by making changes to the software of these systems. Keywords: tank vehicle, roll stability, mathematical model, vehicle control systems.
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Lu, Yongjie, Tongtong Wang, and Hangxing Zhang. "Multiobjective Synchronous Control of Heavy-Duty Vehicles Based on Longitudinal and Lateral Coupling Dynamics." Shock and Vibration 2022 (July 21, 2022): 1–19. http://dx.doi.org/10.1155/2022/6987474.

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The steering system, suspension system, and braking system of the vehicle are interrelated, so the ride comfort and handling stability of the vehicle are also closely related. But the vertical and lateral dynamics equations and controls system of the vehicle are always independent of each other, and the multiobjective control is generally achieved through the coordination of control algorithms. In this paper, taking the dynamic load of the tire as a link, the vertical dynamic model and the lateral dynamic model of heavy-duty vehicle are coupled. When the heavy-duty vehicle is turning, the proposed coupling model not only reflects the influence of the front wheel angle on the vertical motion and the vertical tire load, but also reflects the unevenness of the road surface on vehicle lateral motion. In order to improve the handling stability and transient safety of the vehicle, a synchronous control system combining six-wheel steering and front wheel active steering is proposed. It solves the problem that it is difficult to effectively track the desired yaw rate for the three-axle all-wheel steering vehicle with the middle rear wheel angle as the control input. Under the framework of the vehicle vertical/lateral unified coupling dynamics model, the semiactive suspension system controlled by fuzzy PID and the six-wheel active steering system combined with fuzzy control and fuzzy PID control are integrated. It is verified that the synchronous control method effectively optimizes the vertical and lateral motion characteristics of heavy-duty vehicles during steering and, at the same time, improves the ride comfort and steering stability.
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Zaidi, Subiya, Harshita Yadav, Hemant Kumar Chaudhary, Hrithik Puri, and Kartikeya Saraswat. "Dynamic Traffic Control System." Journal of Big Data Technology and Business Analytics 1, no. 2 (July 28, 2022): 25–31. http://dx.doi.org/10.46610/jbdtba.2022.v01i02.004.

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A country with a population of 1.3 billion and almost 300 million vehicles, India is one of the biggest contributors to traffic jams, vehicle- specific pollution, and chronic lung diseases. To manage the footfall of this gigantic urban population, and the vehicles, our country has blindly poured in resources towards both active and passive traffic management, investing in measures such as smart traffic management systems and deploying enormous armies of traffic police to handle intersections and exits. The paper aims, towards showcasing a dynamic, fully autonomous model, that uses real-time feeds from existing traffic junctions/ intersection cameras, process them and provide an intensity score based on the density of traffic in each adjoining lane. The system, based upon the intensity scores, provides suitable traffic go time to each lane. The model also scans for emergency vehicles in each lane, to provide a priority pass to such vehicles.
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Dai, Wei, Yongjun Pan, Chuan Min, Sheng-Peng Zhang, and Jian Zhao. "Real-Time Modeling of Vehicle’s Longitudinal-Vertical Dynamics in ADAS Applications." Actuators 11, no. 12 (December 16, 2022): 378. http://dx.doi.org/10.3390/act11120378.

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The selection of an appropriate method for modeling vehicle dynamics heavily depends on the application. Due to the absence of human intervention, the demand for an accurate and real-time model of vehicle dynamics for intelligent control increases for autonomous vehicles. This paper develops a multibody vehicle model for longitudinal-vertical dynamics applicable to advanced driver assistance (ADAS) applications. The dynamic properties of the chassis, suspension, and tires are considered and modeled, which results in accurate vehicle dynamics and states. Unlike the vehicle dynamics models built into commercial software packages, such as ADAMS and CarSim, the proposed nonlinear dynamics model poses the equations of motion using a subset of relative coordinates. Therefore, the real-time simulation is conducted to improve riding performance and transportation safety. First, a vehicle system is modeled using a semi-recursive multibody dynamics formulation, and the vehicle kinematics and dynamics are accurately calculated using the system tree-topology. Second, a fork-arm removal technique based on the rod-removal technique is proposed to reduce the number of bodies, relative coordinates, and equations constrained by loop-closure. This increase the computational efficiency even further. Third, the dynamic simulations of the vehicle are performed on bumpy and sloping roads. The accuracy and efficiency of the numerical results are compared to the reference data. The comparative results demonstrate that the proposed vehicle model is effective. This efficient model can be utilized for the intelligent control of vehicle ADAS applications, such as forward collision avoidance, adaptive cruise control, and platooning.
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Al-Flehawee, Maher, and Auday Al-Mayyahi. "Building A Control Unit of A Series-Parallel Hybrid Electric Vehicle by Using A Nonlinear Model Predictive Control (NMPC) Strategy." Iraqi Journal for Electrical and Electronic Engineering 18, no. 1 (March 31, 2022): 93–102. http://dx.doi.org/10.37917/ijeee.18.1.11.

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Hybrid electric vehicles have received considerable attention because of their ability to improve fuel consumption compared to conventional vehicles. In this paper, a series-parallel hybrid electric vehicle is used because they combine the advantages of the other two configurations. In this paper, the control unit for a series-parallel hybrid electric vehicle is implemented using a Nonlinear Model Predictive Control (NMPC) strategy. The NMPC strategy needs to create a vehicle energy management optimization problem, which consists of the cost function and its constraints. The cost function describes the required control objectives, which are to improve fuel consumption and obtain a good dynamic response to the required speed while maintaining a stable value of the state of charge (SOC) for batteries. While the cost function is subject to the physical constraints and the mathematical prediction model that evaluate the vehicle’s behavior based on the current vehicle measurements. The optimization problem is solved at each sampling step using the (SQP) algorithm to obtain the optimum operating points of the vehicle’s energy converters, which are represented by the torque of the vehicle components.
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Dissertations / Theses on the topic "Vehicle dynamic control"

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Bhikadiya, Ruchit Anilbhai. "Hybrid Vehicle Control Benchmark." Thesis, Linköpings universitet, Fordonssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171586.

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The new emission regulations for new trucks was made to decrease the CO2 emissions by 30% from 2020 to 2030. One of the solutions is hybridizing the truck powertrain with 48V or 600V that can recover brake energy with electrical machines and batteries. The control of this hybrid powertrain is key to increase fuel efficiency. The idea behind this approach is to combine two different power sources, an internal combustion engine and a battery driven electric machine, and use both to provide tractive forces to the vehicle. This approach requires a HEV controller to operate the power flow within the systems. The HEV controller is the key to maximize fuel savings which contains an energy management strategy. It uses the knowledge of the road profile ahead by GPS and maps, and strongly interacts with the control of the cruise speed, automated gear shifts, powertrain modes and state of charge. In this master thesis, the dynamic programming strategy is used as predictive energy management for hybrid electric truck in forward- facing simulation environment. An analysis of predictive energy management is thus done for receding and full horizon length on flat and hilly drive cycle, where fuel consumption and recuperation energy will be regarded as the primary factor. Another important factor to consider is the powertrain mode of the vehicle with different penalty values. The result from horizon study indicates that the long receding horizon length has a benefit to store more recuperative energy. The fuel consumption is decreased for all drive cycle in the comparison with existing Volvo’s strategy.
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Wenzel, Thomas A. "State and parameter estimation for vehicle dynamic control." Thesis, Coventry University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422507.

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Waisanen-Hatipoglu, Holly A. "Control of mobile networks using dynamic vehicle routing." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42244.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 141-144).
This thesis considers the Dynamic Pickup and Delivery Problem (DPDP), a dynamic multi-stage vehicle routing problem in which each demand requires two spatially separated services: pickup service at its source location and then delivery service at its destination location. The Dynamic Pickup and Delivery Problem arises in many practical applications, including taxi and courier services, manufacturing and inventory routing, emergency services, mobile sensor networks, Unmanned Aerial Vehicle (UAV) routing, and delay tolerant wireless networks. The main contribution of this thesis is the quantification of the delay performance of the Dynamic Pickup and Delivery Problem as a function of the number of vehicles, the total arrival rate of messages, the required message service times, the vehicle velocity, and the network area. Two lower bounds are derived. First, the Universal Lower Bound quantifies the impact of spatially separated service locations and system loading on average delay. The second lower bound is derived by reducing the two-stage Dynamic Pickup and Delivery Problem to the single-stage Dynamic Traveling Repairperson Problem (DTRP). Policies are then presented for which these lower bounds are tight as a function of the system scaling parameters (up to a constant). The impact of information and inter-vehicle relays is also studied. The last part of this thesis examines the application of the Dynamic Pickup and Delivery Problem to mobile multi-agent wireless networks from a physical layer perspective, seeking insights for the control of the network to achieve trade-offs between throughput and delay.
by Holly A. Waisanen-Hatipoglu.
Ph.D.
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Gerrard, Douglas R. "Dynamic control of a vehicle with two independent wheels." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA340452.

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Thesis (M.S. in Electrical Egnineering) Naval Postgraduate School, September 1997.
"September 1997." Thesis advisor(s): Xiaoping Yun. Includes bibliographical references (p. 27). Also available online.
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Dai, Huiguang. "Dynamic behavior of maglev vehicle/guideway system with control." Case Western Reserve University School of Graduate Studies / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1117563035.

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Romanelli, Christopher C. "Software Simulation of an Unmanned Vehicle Performing Relative Spacecraft Orbits." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/32144.

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The challenge of sensing relative motion between vehicles is an important subject in the engineering field in recent years. The associated applications range from spacecraft rendezvous and docking to autonomous ground vehicle operations. The focus of this thesis is to develop the simulation tools to examine this problem in the laboratory environment. More specifically, the goal is to create a virtual unmanned ground vehicle that operates in the same manner as an actual vehicle. This simulated vehicle allows for safely testing other software or hardware components before application to the actual vehicle. In addition, the simulated vehicle, in contrast to the real vehicle, is able to operate on different surfaces or even different planets, with different gravitational accelerations. To accomplish this goal, the equations of motion of a two-wheel driven unmanned vehicle are developed analytically. To study the spacecraft application, the equations of motion for a spacecraft cluster are also developed. These two simulations are implemented in a modular form using the UMBRA framework. In addition, an interface between these two simulations is created for the unmanned vehicle to mimic the translational motion of a spacecraftâ s relative orbit. Finally, some of the limitations and future improvements of the existing simulations are presented.
Master of Science
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Goncalves, Fernando D. "Dynamic Analysis of Semi-Active Control Techniques for Vehicle Applications." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/34521.

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This experimental study evaluates the dynamic response of five semi-active control policies as tested on a single suspension quarter-car system. Incorporating a magneto-rheological damper, the full-scale 2DOF quarter-car system was used to evaluate skyhook, groundhook, and hybrid control. Two alternative skyhook policies were also considered, namely displacement skyhook and relative displacement skyhook. As well as exploring the relative benefits of each of these controllers, the performance of each semi-active controller was compared to the performance of conventional passive damping. Each control policy is evaluated for its control performance under three different base excitations: chirp, step, and pure tone. Corresponding to the chirp input, transmissibilities and auto spectrums are considered for each control policy. Specifically, transmissibilities between the sprung mass displacement and the unsprung mass displacement are generated relative to the input displacement. Further, the ratio between the relative displacement across the damper and the input displacement is evaluated for each control technique. The chirp input also reveals the results of the auto spectrums of the sprung and unsprung mass accelerations. Both the step input and the pure tone input were used to generate time domain values of RMS and peak-to-peak displacements and accelerations. This study shows that semi-active control offers benefits beyond those of conventional passive damping. Further, traditional skyhook control is shown to outperform the less conventional alternative skyhook policies.
Master of Science
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Geamanu, Marcel-Stefan. "Estimation and dynamic longitudinal control of an electric vehicle with in-wheel electric motors." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00871231.

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The main objective of the present thesis focuses on the integration of the in-wheel electric motors into the conception and control of road vehicles. The present thesis is the subject of the grant 186-654 (2010-2013) between the Laboratory of Signals and Systems (L2S-CNRS) and the French Institute of Petrol and New Energies (IFPEN). The thesis work has originally started from a vehicular electrification project, equipped with in-wheel electric motors at the rear axle, to obtain a full electric urban use and a standard extra-urban use with energy recovery at the rear axle in braking phases. The standard internal combustion engines have the disadvantage that complex estimation techniques are necessary to compute the instantaneous engine torque. At the same time, the actuators that control the braking system have some delays due to the hydraulic and mechanical circuits. These aspects represent the primary motivation for the introduction and study of the integration of the electric motor as unique propelling source for the vehicle. The advantages brought by the use of the electric motor are revealed and new techniques of control are set up to maximize its novelty. Control laws are constructed starting from the key feature of the electric motor, which is the fact that the torque transmitted at the wheel can be measured, depending on the current that passes through the motor. Another important feature of the electric motor is its response time, the independent control, as well as the fact that it can produce negative torques, in generator mode, to help decelerate the vehicle and store energy at the same time. Therefore, the novelty of the present work is that the in-wheel electric motor is considered to be the only control actuator signal in acceleration and deceleration phases, simplifying the architecture of the design of the vehicle and of the control laws. The control laws are focused on simplicity and rapidity in order to generate the torques which are transmitted at the wheels. To compute the adequate torques, estimation strategies are set up to produce reliable maximum friction estimation. Function of this maximum adherence available at the contact between the road and the tires, an adequate torque will be computed in order to achieve a stable wheel behavior in acceleration as well as in deceleration phases. The critical issue that was studied in this work was the non-linearity of the tire-road interaction characteristics and its complexity to estimate when it varies. The estimation strategy will have to detect all changes in the road-surface adherence and the computed control law should maintain the stability of the wheel even when the maximum friction changes. Perturbations and noise are also treated in order to test the robustness of the proposed estimation and control approaches.
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Mullen, Jon. "FILTERED-DYNAMIC-INVERSION CONTROL FOR FIXED-WING UNMANNED AERIAL SYSTEMS." UKnowledge, 2014. http://uknowledge.uky.edu/me_etds/45.

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Instrumented umanned aerial vehicles represent a new way of measuring turbulence in the atmospheric boundary layer. However, autonomous measurements require control methods with disturbance-rejection and altitude command-following capabilities. Filtered dynamic inversion is a control method with desirable disturbance-rejection and command-following properties, and this controller requires limited model information. We implement filtered dynamic inversion as the pitch controller in an altitude-hold autopilot. We design and numerically simulate the continuous-time and discrete-time filtered-dynamic-inversion controllers with anti-windup on a nonlinear aircraft model. Finally, we present results from a flight experiment comparing the filtered-dynamic-inversion controller to a classical proportional-integral controller. The experimental results show that the filtered-dynamic-inversion controller performs better than a proportional-integral controller at certain values of the parameter.
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FLINT, MATTHEW D. "COOPERATIVE UNMANNED AERIAL VEHICLE (UAV) SEARCH IN DYNAMIC ENVIRONMENTS USING STOCHASTIC METHODS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1105553725.

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Books on the topic "Vehicle dynamic control"

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Gerrard, Douglas R. Dynamic control of a vehicle with two independent wheels. Monterey, Calif: Naval Postgraduate School, 1997.

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Ferrucci, Francesco. Pro-active Dynamic Vehicle Routing: Real-Time Control and Request-Forecasting Approaches to Improve Customer Service. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Flandro, G. A. Dynamic interactions between hypersonic vehicle aerodynamics and propulsion system performance: Final report to Aircraft Guidance and Controls Branch, Guidance and Control Division ... [Washington, DC: National Aeronautics and Space Administration, 1992.

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Morelli, Eugene A. F-18 high research vehicle (HARV) parameter identification flight test maneuvers for optimal input design validation and lateral control effectiveness. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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Morelli, Eugene A. F-18 high research vehicle (HARV) parameter identification flight test maneuvers for optimal input design validation and lateral control effectiveness. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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Rajamani, Rajesh. Vehicle dynamics and control. New York: Springer, 2005.

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Rajamani, Rajesh. Vehicle Dynamics and Control. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1433-9.

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Space vehicle dynamics and control. Reston, VA: American Institute of Aeronautics and Astronautics, 1998.

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Space vehicle dynamics and control. 2nd ed. Reston, VA: American Institute of Aeronautics and Astronautics, 2008.

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Chen, Wuwei, Hansong Xiao, Qidong Wang, Linfeng Zhao, and Maofei Zhu. Integrated Vehicle Dynamics and Control. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2016. http://dx.doi.org/10.1002/9781118380000.

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Book chapters on the topic "Vehicle dynamic control"

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Hamza, S., F. Anstett-Collin, Q. Li, L. Denis-Vidal, A. Birouche, and M. Basset. "Dynamic sensitivity analysis of a suspension model." In Advanced Vehicle Control AVEC’16, 651–56. CRC Press/Balkema, P.O. Box 11320, 2301 EH Leiden, The Netherlands, e-mail: Pub.NL@taylorandfrancis.com, www.crcpress.com – www.taylorandfrancis.com: Crc Press, 2016. http://dx.doi.org/10.1201/9781315265285-103.

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Ferrucci, Francesco. "A New Deterministic Real-Time Control Approach for RDOPG Applications." In Pro-active Dynamic Vehicle Routing, 149–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33472-6_5.

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Fujinami, Y., P. Raksincharoensak, Y. Akamatsu, D. Ulbricht, and R. Adomat. "Risk predictive safe speed control for collision avoidance in right turn dynamic environment situation." In Advanced Vehicle Control AVEC’16, 31–36. CRC Press/Balkema, P.O. Box 11320, 2301 EH Leiden, The Netherlands, e-mail: Pub.NL@taylorandfrancis.com, www.crcpress.com – www.taylorandfrancis.com: Crc Press, 2016. http://dx.doi.org/10.1201/9781315265285-6.

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Li, Bin, Subhash Rakheja, and Zhijun Fu. "Optimal control of lateral stability for articulated heavy vehicles based on adaptive dynamic programming approach." In Advanced Vehicle Control AVEC’16, 451–56. CRC Press/Balkema, P.O. Box 11320, 2301 EH Leiden, The Netherlands, e-mail: Pub.NL@taylorandfrancis.com, www.crcpress.com – www.taylorandfrancis.com: Crc Press, 2016. http://dx.doi.org/10.1201/9781315265285-72.

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Kciuk, Sławomir, Sławomir Duda, Arkadiusz Mężyk, Eugeniusz Świtoński, and Klaudiusz Klarecki. "Tuning the Dynamic Characteristics of Tracked Vehicles Suspension Using Controllable Fluid Dampers." In Innovative Control Systems for Tracked Vehicle Platforms, 243–58. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04624-2_15.

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Kempf, André, Elias Weber, and Steffen Müller. "Dynamic Multiobjective Control Performance Assessment for an Autonomous Vehicle." In Lecture Notes in Mechanical Engineering, 1080–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_125.

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Le Hung, Phan, Trinh Duc Cuong, and Nguyen Truong Thinh. "Control for Smart Transportation Vehicle Based on Dynamic Model." In Advances in Intelligent Systems and Computing, 993–1001. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37374-9_96.

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Chen, Rui, Yuan Zou, and Shi-jie Hou. "Energy Management Strategy for Hybrid Electric Tracked Vehicle Based on Dynamic Programming." In Electrical Engineering and Control, 843–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21765-4_105.

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Nayl, Thaker, George Nikolakopoulos, and Thomas Gustafsson. "Real-Time Bug-Like Dynamic Path Planning for an Articulated Vehicle." In Informatics in Control, Automation and Robotics, 201–15. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10891-9_11.

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Georgescu, Marius Constantin. "Dynamic Control of an Electric Vehicle with Traction Induction Motor." In CONAT 2016 International Congress of Automotive and Transport Engineering, 482–90. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45447-4_53.

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Conference papers on the topic "Vehicle dynamic control"

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Hogan, Ian, and Warren Manning. "Automotive Collision Mitigation Through Vehicle Dynamic Control." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34479.

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The ever important development of automotive crash mitigation systems has, over recent years, lead to the development of Advance Driver Assistance (ADA) systems. These systems use a variety of approaches to help avoid vehicle collision from occurring. However, these systems are still far from being able to prevent all collisions from occurring in the current environment. This work aims to use vehicle dynamic control systems to optimize the vehicle’s dynamic characteristics for an impending collision. This will utilize the detection systems developed for these ADA systems, to detect when an imminent collision has become unavoidable. To perform such studies, it is important to have a vehicle dynamic simulation that can also include the vehicle crash structural dynamics. These factors are key to analysing the point-of-impact and post-impact vehicle dynamics and the effects on the outcome of the impact. This paper outlines the initial development of a multibody vehicle dynamic crash analysis model. This enables the analysis of a generic vehicle dynamic model, together with a simple crash model, so that the effects of a variety of simple dynamic control approaches can be analysed. This will give a valuable insight into the effects of vehicle dynamic control on the collision severity. Initial results show that this simple and fast method of simulating both the vehicle dynamics and crash dynamics in a simple multibody model can be an effective and accurate tool for generic vehicle analysis. Results also show that even simple vehicle dynamic controls during the pre-impact, impact and post-impact stages of the collision can have a significant effect on the impact severity.
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Temiz, Ozan, Melih Cakmakci, and Yildiray Yildiz. "A Fault Tolerant Vehicle Stability Control Using Adaptive Control Allocation." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-8976.

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This paper presents an integrated fault-tolerant adaptive control allocation strategy for four wheel frive - four wheel steering ground vehicles to increase yaw stability. Conventionally, control of brakes, motors and steering angles are handled separately. In this study, these actuators are controlled simultaneously using an adaptive control allocation strategy. The overall structure consists of two steps: At the first level, virtual control input consisting of the desired traction force, the desired moment correction and the required lateral force correction to maintain driver’s intention are calculated based on the driver’s steering and throttle input and vehicle’s side slip angle. Then, the allocation module determines the traction forces at each wheel, front steering angle correction and rear steering wheel angle, based on the virtual control input. Proposed strategy is validated using a non-linear three degree of freedom reduced two-track vehicle model and results demonstrate that the vehicle can successfully follow the reference motion while protecting yaw stability, even in the cases of device failure and changed road conditions.
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Jeon, Woongsun, and Rajesh Rajamani. "Active Sensing on a Bicycle for Accurate Tracking of Rear Vehicle Maneuvers." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9772.

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This paper focuses on development of an active sensing system for a bicycle to accurately track rear vehicles. Cost, size and power constraints highly limit the type of sensor that can be used on a bicycle for measurement of distances to vehicles. A single beam laser sensor mounted on a rotationally controlled platform is proposed for this sensing mission. The rotational orientation of the laser sensor needs to be controlled in real-time in order to focus on a target point on the vehicle, as the vehicle’s lateral and longitudinal distances change. This tracking problem involves two challenges: Controlling the real-time angular position of the laser sensor based on very limited information and tracking the vehicle’s position for different types of maneuvers. The first challenge is addressed by developing an algorithm to detect whether a reflection is from the front or side of the target vehicle and then controlling sensor orientation to alternately obtain both lateral and longitudinal distance measurements. The second challenge is addressed by using an interacting multiple model observer that incorporates straight and turning vehicle motion models. Simulation results are presented to show the advantages of the developed tracking control system compared to simpler alternatives.
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Begg, Colin D., Daniel J. Bowman, and A. Scott Lewis. "Undersea Vehicle Autopilot Off Weight Design Compensation." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5131.

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A service issue that can adversely affect the performance of many undersea vehicles in general application is either over or under weight operation. Depth keeping precision can be impacted when a vehicle is launched at a weight different from that specified in the nominal flight control system design. As a result, overall maneuvering performance and the vehicle application objectives can be significantly impacted. This paper presents a compensation method based on simple expansion of the vehicle’s autopilot depth controller trim schedule. Expansion is defined relative to a vehicle’s nominally fixed weight-buoyancy flight control equilibrium trim design point and refers to practical variances in both net buoyancy and buoyancy-weight center geometric offset. This implementation requires only a simple, highly feasible, dry dockside launch under/overweight measurement for operational flight static reference. Off weight compensation is enabled by a priori determination of the vehicle’s steady speed, straight-horizontal flight path, body pitch, and elevator trim angles when subjected to the expected set range of weight-buoyancy variations. The method and implementation are outlined. A depth step change maneuver, using a high fidelity autopilot-software-in-the-loop maneuvering simulation, is examined to verify the implementation feasibility and effectiveness.
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Yu, Zitian, and Junmin Wang. "A New Method in Estimating Vehicle Center of Gravity Position Parameters Based on Ackermann’s Steering." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9674.

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The determination of vehicle’s center of gravity position is an important but challenging task for control of advanced vehicles such as automated vehicles, especially under daily usage condition where the system configurations and payload condition may change. To address this problem, a new method is proposed in this paper to estimate the vehicle’s 3-dimensional center of gravity position parameters without relying on detailed suspension configuration parameters or lateral tire force models. In the estimation problem, the vehicle’s planar dynamic equations are synthesized together to reduce the number of unknown lateral tire forces, then the condition of Ackermann’s Steering Geometry can be found to eliminate the influence of the remaining unknown front wheel lateral tire forces. When the unknown tire forces are cancelled, the recursive least squares (RLS) regression technique is used to identify the 3-dimensional center of gravity position parameters. The vehicle model with the sprung mass modeled as an inverted pendulum is developed to assist the analysis and conversion of sensor measured signals. Simulations conducted in a high-fidelity CarSim® vehicle model have demonstrated the capability of this proposed method in estimating the vehicle’s center of gravity position parameters.
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Hyeon, Eunjeong, Youngki Kim, Niket Prakash, and Anna G. Stefanopoulou. "Influence of Speed Forecasting on the Performance of Ecological Adaptive Cruise Control." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9046.

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Abstract In congested urban conditions, the fuel economy of a vehicle can be highly affected by traffic flow and particularly, the immediately preceding (lead) vehicle. Thus, estimating the future trajectories of the lead vehicle is essential to optimize the following vehicle’s maneuvers for its fuel economy. This paper investigates the influence of speed forecasting on the performance of an ecological adaptive cruise control (eco-ACC) strategy for connected autonomous vehicles. The real-time speed predictor proposed in [1] is applied to forecast the future speed profiles of the lead vehicle over a short prediction horizon. Under the assumption that vehicle-to-vehicle (V2V) communications are available, V2V information from multiple lead vehicles is utilized in the prediction process. Eco-ACC is formulated in a model predictive control (MPC) framework to control the connected autonomous vehicle. The influence of the state prediction to the performance of eco-ACC in terms of fuel economy and acceleration is evaluated with different number of connected vehicles.
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Shuai, Zhibin, Hui Zhang, Junmin Wang, Jianqiu Li, and Minggao Ouyang. "Network Control of Vehicle Lateral Dynamics With Control Allocation and Dynamic Message Priority Assignment." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3890.

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In this paper we study the lateral motion control and torque allocation for four-wheel-independent-drive electric vehicles (4WID-EVs) with combined active front steering (AFS) and direct yaw moment control (DYC) through in-vehicle networks. It is well known that the in-vehicle networks and x-by-wire technologies have considerable advantages over the traditional point-to-point communications, and bring great strengths to 4WID-EVs. However, there are also bandwidth limitations which would lead to message time delays in network communication. We propose a method on effectively utilizing the limited bandwidth resources and attenuating the adverse influence of in-vehicle network-induced time delays, based on the idea of dynamic message priority assignment according to the vehicle states and control signals. Simulation results from a high-fidelity vehicle model in CarSim® show that the proposed vehicle lateral control and torque allocation algorithm can improve the 4WID-EV lateral motion control performance, and the proposed message priority dynamic assignment algorithm can significantly reduce the adverse influence of the in-vehicle network-induced time delays.
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Arat, Mustafa Ali, and Saied Taheri. "An Adaptive Vehicle Stability Control Strategy Using Tire Slip-Angle Feedback." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6271.

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The dynamics at the tire road contact have an immense effect on the vehicle’s handling and stability characteristics as the majority of the forces and moments acting on the vehicle chassis are generated at the tire contact patch. Sudden changes at this contact patch results in abrupt variations in vehicle characteristics which may lead to lose of control for the inexperienced driver. The active safety systems available today seek to prevent such unintended vehicle behavior by assisting drivers in maintaining control of their vehicles. Nevertheless, the lack of knowledge about the tire-road interactions highly limits their effectiveness. Motivated by this opportunity and necessity in the field, this study develops a tire slip-angle estimation algorithm and an adaptive control strategy to improve vehicle stability. The estimator uses a sensor fusion approach that integrates feedback from a concept technology, namely the intelligent tire with a model based nonlinear observer to provide information on tire forces and slip-angle. The proposed control and observer algorithms are evaluated using numerical analysis under a double lane change maneuver. To get a better measure of possible improvements in vehicle performance, the tests are executed together with baseline algorithm inspired by a conventional system. The results demonstrate that the proposed algorithms can successfully negotiate the given tasks as well as promising considerable improvements over the baseline system.
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Zhang, Linjun, and Gábor Orosz. "Stability Analysis of Nonlinear Connected Vehicle Systems." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6358.

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In this paper, we investigate the nonlinear dynamics of connected vehicle systems. Vehicle-to-vehicle (V2V) communication is exploited when controlling the longitudinal motion of a few vehicles in the traffic flow. In order to achieve the desired system-level behavior, the plant stability and the head-to-tail string stability are characterized at the nonlinear level using Lyapunov functions. A motif-based approach is utilized that allows modular design for large-scale vehicle networks. Stability analysis of motifs are summarized using stability diagrams, which are validated by numerical simulations.
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Zheng, Zhibo, Jorge Estrela da Silva, Joa˜o B. de Sousa, and Anouck R. Girard. "Underwater Vehicle Autopilots With Adaptive Dynamic Surface Control." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2198.

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This paper presents an overview of the state-of-the-art for underwater vehicle autopilots. We start by reviewing reference frames, vehicle states, typical control surfaces, equations of motion, the different coefficients and how they are obtained, and disturbance models as well. We then consider different possible configurations for the autopilot, including decoupled lateral and longitudinal loops, maneuver and waypoint control. Adaptive dynamic surface control of nonlinear tracking of a single underwater vehicle is designed with the corroboration with numerical simulations. Finally, we describe current hardware implementations for autonomous underwater vehicles.
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Reports on the topic "Vehicle dynamic control"

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Lee, Jongryoul, and Byoungsoo Kim. Development of a Vehicle Dynamic Model for Lane Keeping Control. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0182.

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Watts, Alfred Chapman. Control of a high beta maneuvering reentry vehicle using dynamic inversion. Office of Scientific and Technical Information (OSTI), May 2005. http://dx.doi.org/10.2172/921747.

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Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PHEV to a certain extent. First, on the basis that MATLAB software has completed the modeling of the key components of the vehicle, the fuzzy controller of the vehicle is established considering the principle of the joint control of the engine and the electric motor. Afterwards, based on the Isight and ADVISOR co-simulation platform, with the goal of ensuring certain dynamic performance and optimal fuel economy of the vehicle, the multi-island genetic algorithm is used to optimize the parameters of the membership function of the fuzzy control strategy to overcome it to a certain extent. The disadvantages of selecting parameters based on experience are compensated for, and the efficiency and feasibility of fuzzy control are improved. Finally, the PHEV vehicle model simulation comparison was carried out under the UDDS working condition through ADVISOR software. The optimization results show that while ensuring the required power performance, the vehicle fuzzy controller after parameter optimization using the multi-island genetic algorithm is more efficient, which can significantly reduce vehicle fuel consumption and improve exhaust emissions.
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Cook, Joshua, Laura Ray, and James Lever. Dynamics modeling and robotic-assist, leader-follower control of tractor convoys. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43202.

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This paper proposes a generalized dynamics model and a leader-follower control architecture for skid-steered tracked vehicles towing polar sleds. The model couples existing formulations in the literature for the powertrain components with the vehicle-terrain interaction to capture the salient features of terrain trafficability and predict the vehicles response. This coupling is essential for making realistic predictions of the vehicles traversing capabilities due to the power-load relationship at the engine output. The objective of the model is to capture adequate fidelity of the powertrain and off-road vehicle dynamics while minimizing the computational cost for model based design of leader-follower control algorithms. The leader-follower control architecture presented proposes maintaining a flexible formation by using a look-ahead technique along with a way point following strategy. Results simulate one leader-follower tractor pair where the leader is forced to take an abrupt turn and experiences large oscillations of its drawbar arm indicating potential payload instability. However, the follower tractor maintains the flexible formation but keeps its payload stable. This highlights the robustness of the proposed approach where the follower vehicle can reject errors in human leader driving.
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Li, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, Woosung Kim, Jairaj Desai, Timothy Wells, and Darcy M. Bullock. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.

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Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, anti-lock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with GPS coordinates and cellular connectivity, can provide valuable on-the-ground sampling of vehicle dynamics at the onset of a storm. We are rapidly entering an era where this vehicle data can provide an agency with opportunities to more effectively manage their systems than traditional procedures that rely on fixed infrastructure sensors and telephone reports. This data could also reduce the density of roadway weather information systems (RWIS), similar to how probe vehicle data has reduced the need for micro loop or side fire sensors for collecting traffic speeds.
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Kurdila, Andrew J. Nonlinear Dynamic Simulation and Control of Military Ground Vehicles. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada398488.

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Pearson, Richard J., and Peter J. Fazio. A Human Steering Model Used to Control Vehicle Dynamics Models. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada421307.

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Dullerud, Geir E., Francesco Bullo, Eric Feron, Emilio Frazzoli, P. R. Kumar, Sanjay Lall, Daniel Liberzon, Nancy A. Lynch, John C. Mitchell, and Sanjoy K. Mitter. Cooperative Networked Control of Dynamical Peer-to-Peer Vehicle Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada475557.

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Hovakimyan, Naira, Hunmin Kim, Wenbin Wan, and Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, August 2022. http://dx.doi.org/10.36501/0197-9191/22-016.

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Autonomous vehicles (AVs) have a great potential to transform the way we live and work, significantly reducing traffic accidents and harmful emissions on the one hand and enhancing travel efficiency and fuel economy on the other. Nevertheless, the safe and efficient control of AVs is still challenging because AVs operate in dynamic environments with unforeseen challenges. This project aimed to advance the state-of-the-art by designing a proactive/reactive adaptation and learning architecture for connected vehicles, unifying techniques in spatiotemporal data fusion, machine learning, and robust adaptive control. By leveraging data shared over a cloud network available to all entities, vehicles proactively adapted to new environments on the proactive level, thus coping with large-scale environmental changes. On the reactive level, control-barrier-function-based robust adaptive control with machine learning improved the performance around nominal models, providing performance and control certificates. The proposed research shaped a robust foundation for autonomous driving on cloud-connected highways of the future.
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Nelson, Jeremy, Gloria Calhoun, and Mark Draper. A Dynamic Mission Replanning Testbed for Supervisory Control of Multiple Unmanned Aerial Vehicles. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada444586.

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