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Статті в журналах з теми "Electronic stability control; rural road; simulation"
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Shin, Donghoon, Seunghoon Woo, and Manbok Park. "Rollover Index for Rollover Mitigation Function of Intelligent Commercial Vehicle’s Electronic Stability Control." Electronics 10, no. 21 (October 25, 2021): 2605. http://dx.doi.org/10.3390/electronics10212605.
Повний текст джерелаАнотація:
This paper describes a rollover index for detection or prediction of impending rollover in different driving situations using minimum sensor signals which can be easily obtained from an electronic stability control (ESC) system. The estimated lateral load transfer ratio (LTR) was used as a rollover index with only limited information such as the roll state of the vehicle and some constant parameters. A commercial vehicle has parameter uncertainties because of its load variation. This is likely to affect the driving performance and the estimation of the dynamic state of the vehicle. The main purpose of this paper is to determine the rollover index based on reliable measurements and the parameters of the vehicle. For this purpose, a simplified lateral and vertical vehicle dynamic model was used with some assumptions. The index is appropriate for various situations although the vehicle parameters may change. As part of the index, the road bank angle was investigated in this study, using limited information. Since the vehicle roll dynamics are affected by the road bank angle, the road bank angle should be incorporated, although previous studies ignore this factor in order to simplify the problem. Because it increases or reduces the chances of rollover, consideration of the road bank angle is indispensable in the rollover detection and mitigation function of the ESC system. The performance of the proposed algorithm was investigated via computer simulation studies. The simulation studies showed that the proposed estimation method of the LTR and road bank angle with limited sensor information followed the actual LTR value, reducing the parameter uncertainties. The simulation model was constructed based on a heavy bus (12 tons).
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Fu, Yan Rong, Li Xian Ren, Guo Ye Wang, and Hai Jing Hou. "Simulation Study on ESP Fuzzy Control Based on Road Automatic Identification." Advanced Materials Research 1044-1045 (October 2014): 863–67. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.863.
Повний текст джерелаАнотація:
ESP (Electronic Stability Program) is a kind of active safety device which can comprehensively improve the brake, drive and high speed performance of the automobile. Mastering the key technologies of ESP control system plays an important role in improving the performance of ESP. Vehicle dynamic model and engine model with 9 degrees of freedom of one passenger car were established based on vehicle and tire force analysis. The ESP fuzzy control model based on slip ratio control was established. The optimal slip ratio under different pavements was confirmed by using road recognition method. ESP fuzzy control was realized under MATLAB/Simulink environment. And through the split road simulation prove the validity of the road recognition algorithm, and the effectiveness of the fuzzy control strategy. The simulation and the debugging results indicate that the ESP fuzzy control strategy based on road automatic identification works well, and obviously improves automobile stability under critical situations. And all of these make a good foundation for the further research and development for the ESP integrated control system.
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Tan, Senqi, Yang Wang, Wen Cheng, Tian Luo, Naisi Zhang, Shengfei Li, Bo Pan, and Xing Cui. "Cascade Direct Yaw Moment Control for an Independent Eight In-Wheel Motor-Driven Autonomous Vehicle." Electronics 11, no. 18 (September 15, 2022): 2930. http://dx.doi.org/10.3390/electronics11182930.
Повний текст джерелаАнотація:
Unstructured off-road environments with complex terrain obstacles and pavement properties bring obvious challenges for special purpose autonomous vehicle control. A cascade direct yaw moment control strategy (CDYC), which contains a main loop and a servo loop, is proposed to enhance the accuracy and stability of an independent eight in-wheel motor-driven autonomous vehicle with rear-wheel steering (8WD/RWS). In the main loop, double PID controllers are designed to generate the desired drive moment and yaw rate. In the servo loop, the quadratic programming (QP) algorithm with the tire force boundaries optimally allocates the demanded yaw moment to individual wheel torques. The 8WD/RWS prototype is virtually established using TruckSim and serves as the control object for co-simulation. The proposed cascade controller is verified by simulations in customized off-road driving scenarios. The simulation results show that the proposed control architecture can effectively enhance the path-tracking ability and handling stability of the 8WD/RWS, as to ensure the maneuverability and control stability under extreme off-road conditions.
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Gidlewski, M., L. Jemioł, and D. Żardecki. "Simulation tests of the integrated lane change control system." IOP Conference Series: Materials Science and Engineering 1247, no. 1 (July 1, 2022): 012030. http://dx.doi.org/10.1088/1757-899x/1247/1/012030.
Повний текст джерелаАнотація:
Abstract This paper presents the concept of an integrated control system for lane change by a two-axle truck. In earlier works the authors used only a controller coupled to the steering system for sudden lane changes. Nowadays, the steering system controller is integrated with ESP (Electronic Stability Program) which causes momentary braking of chosen vehicle wheels when traffic destabilization threatens. A simulation study of the integrated control system operation during sudden lane change was performed for an unladen and fully laden car on a wet road in near limiting conditions. The test results were compared with those obtained when this maneuver was performed using only the steering controller.
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Wu, Liping, Ran Zhou, Junshan Bao, Guang Yang, Feng Sun, Fangchao Xu, Junjie Jin, Qi Zhang, Weikang Jiang, and Xiaoyou Zhang. "Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control." Sensors 22, no. 24 (December 13, 2022): 9791. http://dx.doi.org/10.3390/s22249791.
Повний текст джерелаАнотація:
Under extreme working conditions such as high-speed driving on roads with a large road surface unevenness coefficient, turning on a road with a low road surface adhesion coefficient, and emergency acceleration and braking, a vehicle’s stability deteriorates sharply and reduces ride comfort. There is extensive existing research on vehicle active suspension control, trajectory tracking, and control methods. However, most of these studies focus on conventional operating conditions, while vehicle stability analysis under extreme operating conditions is much less studied. In order to improve the stability of the whole vehicle under extreme operating conditions, this paper investigates the stability of a vehicle under extreme operating conditions based on linear quadratic regulator (LQR) control. First, a seven degrees of freedom (7-DOF) dynamics model of the whole vehicle is established based on the use of electromagnetic active suspension, and then an LQR controller of the electromagnetic active suspension is designed. A joint simulation platform incorporating MATLAB and CarSim was built, and the CarSim model is verified by real vehicle tests. Finally, the stability of the vehicle under four different ultimate operating conditions was analyzed. The simulation results show that the root mean square (RMS) values of body droop acceleration and pitch angle acceleration are improved by 57.48% and 28.81%, respectively, under high-speed driving conditions on Class C roads. Under the double-shift condition with a low adhesion coefficient, the RMS values of body droop acceleration, pitch acceleration, and roll angle acceleration are improved by 58.25%, 55.41%, and 31.39%, respectively. These results indicate that electromagnetic active suspension can significantly improve vehicle stability and reduce driving risk under extreme working conditions when combined with an LQR controller.
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Oke, Paul, Sing Kiong Nguang, and Wentai Qu. "Robust H∞ Output-Feedback Yaw Control for Vehicles with Differential Steering." Journal of Control Science and Engineering 2018 (September 9, 2018): 1–11. http://dx.doi.org/10.1155/2018/7129240.
Повний текст джерелаАнотація:
This paper examines the problem of designing a robust H∞ output-feedback yaw controller with both input and output constraints for four-wheel independently driven in-wheel electric vehicles (EVs) with differential steering. Specifically, the controller aims are to ensure the stability and improve the performance of the EV despite variations in the road adhesion coefficient, longitudinal velocity, and external disturbance. Based on the linear matrix inequalities approach, sufficient conditions for the existence of an H∞ output-feedback controller for linear systems with polytopic uncertainties, and input and control output constraints, are derived. Then those sufficient conditions are utilized to design an H∞ output-feedback yaw controller that guarantees the robust performance and stability of an EV over a wider range of road conditions. Finally, the capability of the developed controller is simulated on a vehicle model with uncertain road conditions and longitudinal velocities.
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Wang, De Jun, Yuan Yuan Wang, Hong Hong Feng, Li Hua Wang, and Chao Liu. "The Optimization of Braking Force Distribution Control Strategy for ESP System." Applied Mechanics and Materials 80-81 (July 2011): 1065–69. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.1065.
Повний текст джерелаАнотація:
To adjust the car yawing moment through specific wheels braking is a kind of widely used method by various auto stability control system. The braking of different wheels will have different effects on direction and the size of the car yawing moment. Based on the established simulink simulation model platform of automobile Electronic Stability Program (ESP) control system, this paper makes a research and analysis on the vehicle stability in five kinds of typical working conditions under three kinds of braking force distribution control strategies. Finally, we propose an optimized braking force distribution control strategy which is determined by the road condition.
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Soltani, Abbas, Ahmad Bagheri, and Shahram Azadi. "Integrated vehicle dynamics control using semi-active suspension and active braking systems." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 232, no. 3 (October 9, 2017): 314–29. http://dx.doi.org/10.1177/1464419317733186.
Повний текст джерелаАнотація:
This article presents an integrated control of yaw, roll and vertical dynamics based on a semi-active suspension and an electronic stability control with active differential braking system. During extreme manoeuvres, the probability of vehicle rollover is increased and the stability of lateral and yaw vehicle motions is deteriorated because of the saturation of tyre forces. Furthermore, when the road excitation frequencies are equal to the natural frequencies of the unsprung masses, the resonance phenomena occurs, which causes some oscillations getting revealed on responses of the yaw and lateral vehicle dynamics. In these situations, the active braking alone cannot be helpful to improve the vehicle handling and stability, considerably. In order to overcome these difficulties, a coordinated control of the semi-active suspension and the active braking is proposed, using a fuzzy controller and an adaptive sliding mode controller, respectively. A non-linear full vehicle model with 14 degrees of freedom is established and combined with the modified Pacejka tyre model. As the majority of vehicle dynamics variables and the road profile inputs cannot be measured in a cost-efficient way, a non-linear estimator based on unscented Kalman filter is designed to estimate the entire vehicle dynamics states and the road unevenness. Simulation results of the steering manoeuvres on the random road inputs show that the proposed chassis system can effectively improve the vehicle handling, stability and ride comfort.
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Han, Ya Jun, De Yin Du, and Bao Fan Chen. "Based on Adaptive Fuzzy PI DTC of Double Wheeled Electric Vehicle Drive Control." Advanced Materials Research 953-954 (June 2014): 1359–62. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.1359.
Повний текст джерелаАнотація:
In order to improve the stability of an electric vehicle on different road conditions, this paper puts forward a fuzzy PI direct torque control of an adaptive, through the electronic differential control, the parameters of two high torque motor is adjusted dynamically, so as to replace the traditional mechanical differential. Analysis for system stability, the simulation results show that, with Matlab/Simulink, in a different way, this method can obtain good steady-state tracking accuracy and small dynamic error integral.
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Na, Wonbin, Changwoo Park, Seokjoo Lee, Seongo Yu, and Hyeongcheol Lee. "Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors." Sensors 18, no. 8 (August 18, 2018): 2720. http://dx.doi.org/10.3390/s18082720.
Повний текст джерелаАнотація:
Vehicle control systems such as ESC (electronic stability control), MDPS (motor-driven power steering), and ECS (electronically controlled suspension) improve vehicle stability, driver comfort, and safety. Vehicle control systems such as ACC (adaptive cruise control), LKA (lane-keeping assistance), and AEB (autonomous emergency braking) have also been actively studied in recent years as functions that assist drivers to a higher level. These DASs (driver assistance systems) are implemented using vehicle sensors that observe vehicle status and send signals to the ECU (electronic control unit). Therefore, the failure of each system sensor affects the function of the system, which not only causes discomfort to the driver but also increases the risk of accidents. In this paper, we propose a new method to detect and isolate faults in a vehicle control system. The proposed method calculates the constraints and residuals of 12 systems by applying the model-based fault diagnosis method to the sensor of the chassis system. To solve the inaccuracy in detecting and isolating sensor failure, we applied residual sensitivity to a threshold that determines whether faults occur. Moreover, we applied a sensitivity analysis to the parameters semi-correlation table to derive a fault isolation table. To validate the FDI (fault detection and isolation) algorithm developed in this study, fault signals were injected and verified in the HILS (hardware-in-the-loop simulation) environment using an RCP (rapid control prototyping) device.
Дисертації з теми "Electronic stability control; rural road; simulation"
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Mackenzie, James Richard Ryder. "Crash avoidance by electronic stability control on Australian high speed rural roads: an analysis of braking interventions." Thesis, 2015. http://hdl.handle.net/2440/92349.
Повний текст джерелаАнотація:
International and Australian research has found that there are significant benefits to road safety associated with the addition of Electronic Stability Control (ESC) to passenger vehicles. The greatest benefit to Australia is for crashes on high speed rural roads that occur due to a loss of control. An investigation of what variables in the South Australian statewide crash database are associated with high injury severity for vehicle occupants during crashes on high speed rural roads was conducted. For specifically single vehicle crashes on high speed rural roads, a higher speed limit, the hours of darkness, and an earlier crash year were found to be the major indicators of a high injury severity outcome. A complementary investigation of high speed rural road crashes that were a result of a loss of control was also conducted. This required the development of a method for identifying loss of control crashes using available variables from the South Australian statewide crash database. It was estimated that, per year in South Australia, 561 injury crashes on high speed rural roads are the result of a loss of control including 33 fatal crashes and 208 crashes resulting in injuries requiring hospital admission. While literature from ESC manufacturers clearly explains the theory behind how ESC operates, no research has directly investigated what braking interventions are made by ESC during real world situations where a vehicle not equipped with ESC would have crashed. More specifically, no research has investigated how braking interventions affect vehicle trajectory and enable a collision to be avoided. Also of interest is how the effect of interventions are altered when combined with other rural road safety features such as lower travelling speeds, sealed roadside shoulders, and sealed roads. Crash scenarios, developed based on high speed rural road crashes, were simulated using a vehicle model (with a corresponding ESC model) supplied by Bosch Australia. The simulation method included processes such as dynamic testing of the vehicle model, use of a driver model, and trajectory matching through optimisation. Each crash scenario was simulated using the vehicle model without ESC active and then again using the vehicle model with ESC active. The differences in vehicle trajectory and the braking interventions responsible for those differences were then analysed. The crash scenario simulations were also altered to represent the presence of specific rural road safety measures in order to investigate how ESC braking interventions were affected. However, this process was found to render the results unreliable and no analysis of how ESC was affected by the rural road safety measures was possible. The results of simulating each crash scenario were presented in figures that show when braking interventions are made and how they affect vehicle trajectory. Vehicle trajectory was analysed by investigating how ESC affected vehicle sideslip, lateral offset, and yaw. The strength and duration of individual braking interventions were then analysed which included an investigation of how they were affected by travelling speed and how they compare to braking interventions elicited during ESC effectiveness tests.Thesis (Ph.D.) -- University of Adelaide, Centre for Automotive Safety Research (CASR), 2015
Частини книг з теми "Electronic stability control; rural road; simulation"
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Tahir Guneser, Muhammet, Mohammed Ayad Alkhafaji, and Cihat Seker. "Design, Simulation and Analysis of the Propulsion and Control System for an Electric Vehicle." In New Perspectives on Electric Vehicles [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98873.
Повний текст джерелаАнотація:
The problems of global warming, a decrease of the available natural resources and many other problems in the world that happen recently become the major cause for increasing the demand for a new type of vehicle. That vehicle can be an environmental friend and so that a new generation of vehicles has been invented and tried to solve and avoid many problems. In this chapter, the proposed system is called the Multi-Converter/Multi-Machine system (MCMMS) which consists of two Synchronous Reluctance Motor (SynRM) that drive the two rear wheels of Pure Electric Vehicle (PEV). The SynRM speed and torque are controlled by using three different strategies of the PID controller. The PSO algorithm has been used as an optimization technique to find the optimal PID parameter to enhance the drive system performance of the PEV. In this system, the space vector pulse width modulation inverter for voltage source (VS-SVPWMI) has been employed to convert the DC battery voltage to three-phase AC voltage that feeds the SynRM motor in the PEV. The linear speed of the vehicle is controlled by an Electronic Differential Controller (EDC) which gives the reference speed for each driving wheel which depends on the driver reference speed and the steering angle. The specified driving route topology with three different road cases has been applied to acting and show the resistive forces that affected on the PEV during its moving on the road. In addition, to test the efficiency and stability of the PEV on the roads. Hence, this chapter has a full design, simulation and several comparison results for the propulsion electric vehicle system and it has tested implemented in the Matlab/Simulink environment version R2020a.
Тези доповідей конференцій з теми "Electronic stability control; rural road; simulation"
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Seiniger, P., H. Winner, and J. Gail. "Future Vehicle Stability Control Systems for Motorcycles With Focus on Accident Prevention." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59072.
Повний текст джерелаАнотація:
Vehicle Stability Control systems (VSC) for four-wheeled vehicles like the electronic stability program (ESP) helped to decrease the number of traffic deaths in Germany to an all-time low over the last ten years. However, the number of people killed in powered two-wheeler accidents has been almost constant over the same period of time. Vehicle Stability Control systems for powered two-wheelers (especially motorcycles) so far include only anti-lock brakes and traction control systems, both systems are not designed to work in cornering. Further stability control systems are not known up to now. The objective of this paper is to assess the technical possibilities for future Vehicle Stability Control systems and the amount of accidents that could be prevented by those systems. From an accident analysis, all accidents not avoidable by today’s VSC Systems have been analyzed. Only accidents while cornering without braking have been determined as potentially avoidable by future technical systems (braked accidents have been counted as preventable by improved today’s systems). The accidents can be caused by insufficient friction (e.g. slippery road surface, sand, oil or to high curve speed). About 4 to 8 percent of all motorcycle accidents are of this type. The data source for accident descriptions were interviews of motorcycle experts who were able to describe their own accidents and detailed accident descriptions from an accident database. The accident types have been investigated with driving experiments and computer simulation. With a vehicle model different ways to influence the critical driving situations could be analyzed and evaluated. Experiments and simulations showed an instable roll and side-slip angular acceleration of the motorcycle during critical driving situations. The sideslip rate proved to be a robust criterion for recognizing whether a driving situation is critical. The roll movement of the vehicle cannot be influenced with reasonable means, because neither the lateral tire forces can be increased nor stabilizing gyros can be used since the necessary angular momentum is to large for a feasible package. The vehicle sideslip rate can be influenced by braking the front or the rear wheel, thus generating a yaw moment to avoid the dangerous high-side type accidents when friction changes back from low to high. The motorcycle accidents influenced by this system are only a small portion of the mentioned accidents, so as a result of this study, the potential for future vehicle dynamic control systems that help prevent non-braking cornering accidents is estimated quite low.
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Alamdari, Aliakbar, Javad Sovizi, and Venkat N. Krovi. "Enhanced Full-State Estimation and Dynamic-Model-Based Prediction for Road-Vehicles." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34453.
Повний текст джерелаАнотація:
In this paper, we address the enhanced state estimation and prediction system for automobile applications by fusing relatively low-cost and noisy Inertial Navigation System (INS) sensing with Global Positioning System (GPS) measurements. An unscented Kalman filter is used to merge multi-rate measurements from GPS and INS sensors together with a high-fidelity vehicle-dynamics model for state-predictions. The high-fidelity motion model (including suspension-effects) for the vehicle motion trajectory on uneven terrain is captured by a 20-state system of nonlinear differential equations. Computer simulation results illustrate the effectiveness of sensor-fusion (building upon the merger of an inexpensive INS sensing with GPS based measurements) to accurately estimate the full system-state. The relative ease of implementation, accuracy and predictive performance with low-cost sensing will facilitate its use in various electronic control and safety-systems, such as Electronic Stability Program, Anti-lock Brake Systems, and the Lateral Dynamic Stability Control.
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Dye, John, Nathan BuchMueller, and Hamid Lankarani. "Semi-Active Suspension Suboptimal Control Using Dynamic Programming of a Quarter Car Suspension System." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60446.
Повний текст джерелаАнотація:
Many modern vehicle control systems utilize automatic braking and torque control to enhance driver inputs for improved stability and deceleration performance of passenger cars. A semi-active suspension approach may allow changes to the suspension characteristics under various conditions or driver inputs during vehicle operation. Suspensions are increasingly using semi active components to enhance handling characteristics by electronically adjusting vehicle dynamics. The active style of adjustment includes modifying suspension parameters directly such as electronic damping rates. The type of controller is important to react or adjust dynamically to the nonlinear nature of suspension systems. An optimal controller is introduced in attempt to improve ride comfort or road handling capability by manipulating the damping coefficient for a given trajectory. A suboptimal approach is given by utilizing a type of receding horizon control. The cost function, as used by Savaresi, contains a bias parameter to shift focus between road holding and passenger comfort. A dynamic quarter car suspension model is presented for simulation of nonlinear vehicle dynamics. During simulation at a given time step, various control inputs are simulated for finite steps into the future. The control input that minimizes the cost function is selected and the simulation time is allowed to advance with that input. The model is simulated using parameters for a typical passenger car and a 100 millisecond update rate from the suboptimal controller. A road profile with a bump is simulated and its transients are analyzed. The suboptimal controller is compared to its purely mechanical realization with a fixed damping coefficient. It is shown when manipulating the cost function ride comfort is desired chassis accelerations are minimized and when maximum road holding is desired tire deflection is minimized.
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Kim, Byung-joo, and Huei Peng. "Optimal Vehicle Motion Control to Mitigate Secondary Crashes After an Initial Impact." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6080.
Повний текст джерелаАнотація:
Typical drivers are not ready to react to unexpected collisions from other vehicles. The initial impact can startle the driver who then fails to maintain control. Since a loss of control leads to intense skidding and undesirable lateral motions, more severe subsequent events are likely to occur. To reduce the severity of possible subsequent (secondary) crashes, this paper considers both vehicle heading angle and lateral deviation from the original driving path. The research concept here is different from today’s electronic stability control systems in that it activates the differential braking even when the magnitude of yaw rate or vehicle slip angle is very high. In addition, the lateral displacement and yaw angle with respect to the road are part of the control objective. The Linear Time Varying Model Predictive Control (LTV-MPC) method is used, with the key tire nonlinearities captured through linearization. We consider tire force constraints based on the combined-slip tire model and their dependence on vehicle motion. The computed high-level (virtual) control signals are realized through a control allocation problem which maps vehicle motion commands to tire braking forces considering constraints. Numerical simulation and analysis results are presented to demonstrate the effectiveness of the control algorithm.
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Berssenbru¨gge, Jan, Jochen Bauch, and Ju¨rgen Gausemeier. "A Virtual Reality-Based Night Drive Simulator for the Evaluation of a Predictive Advanced Front Lighting System." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99691.
Повний текст джерелаАнотація:
Modern automobiles contain more and more mechatronical components to support the task of driving. Such mechatronical components are, e.g., an anti-lock braking system (ABS) and an electronic stability program (ESP) to support driving safety, or a predictive advanced front lighting system P-AFS) to enhance the lighting capabilities of a vehicle on a winding road. P-AFS uses GPS-data to locate the vehicle’s position plus digital map data to predict the curvature of the road in front of the vehicle. Based on this, P-AFS predicts the road scenario and swivels the front headlights accordingly. That way, the headlights follow the road’s curvature and optimally illuminate the road in front of the vehicle. To design, evaluate, and optimize the control algorithms within the electronic control unit (ECU) of the P-AFS component, up to 30 design variables need to be adjusted and tuned to ensure an optimal response of the system to the current road scenario. For this task, numerous time-consuming and costly test drives at night are necessary. This paper introduces a Virtual Reality-based night drive simulator that visualizes the complex lighting characteristics of automotive headlights in high detail and in real-time on a PC-based system. The user drives a simulated vehicle over a virtual test track at night, the vehicle’s motion directly influences the lighting direction of headlights, and the effect of the vehicle dynamics on the lighting can be evaluated directly in the simulator. The system is connected to the control algorithms of a P-AFS component to control the headlights swivelling for a close-to-reality simulation of a P-AFS based lighting system during the simulated night drive. That way, good combinations of the design variables can be found, based on virtual night drives in the simulator system, and the number of real test drives can be reduced significantly. Promising combinations of the design variables then can be validated in a test vehicle during a real test drive a night.