Relevant bibliographies by topics / Control algorithm for directional control valves

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Control algorithm for directional control valves'

Author: Grafiati
Published: 28 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Control algorithm for directional control valves"

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Jin, Liyang, and Qingfeng Wang. "Positioning control of hydraulic cylinder with unknown friction using on/off directional control valve." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 8 (2018): 983–93. http://dx.doi.org/10.1177/0959651818771522.

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In this study, a prediction-based positioning control scheme is proposed for the hydraulic cylinder controlled by a solenoid operated on/off directional control valve. The discrete-valued input, low switching frequency and significant delay of directional control valve make the control problem very complex. Only a discrete-valued control input can be used here; meanwhile, the input has switching frequency constraint and time-delay. Existing methods such as pulse-width modulation control and sliding-mode control are not suitable for this problem, because chattering may arise due to the control
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Li, Songjing. "OPTIMAL DESIGN OF NEW TYPE ENERGY-SAVING SOLENOID DIRECTIONAL CONTROL VALVE USING GENETIC ALGORITHM." Chinese Journal of Mechanical Engineering 37, no. 07 (2001): 79. http://dx.doi.org/10.3901/jme.2001.07.079.

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Bobál, Vladimír, Petr Chalupa, Marek Kubalčík, and Petr Dostál. "Self-Tuning Predictive Control of Nonlinear Servo-Motor." Journal of Electrical Engineering 61, no. 6 (2010): 365–72. http://dx.doi.org/10.2478/v10187-010-0056-x.

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Self-Tuning Predictive Control of Nonlinear Servo-MotorThe paper is focused on a design of a self-tuning predictive model control (STMPC) algorithm and its application to a control of a laboratory servo motor. The model predictive control algorithm considers constraints of a manipulated variable. An ARX model is used in the identification part of the self-tuning controller and its parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method and the optimization wa
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Astik, Mitesh B., Praghnesh Bhatt, and Bhavesh R. Bhalja. "Bi-Directional Position and Speed Estimation Algorithm for Sensorless Control of BLDC Motor." Electrical, Control and Communication Engineering 14, no. 2 (2018): 125–33. http://dx.doi.org/10.2478/ecce-2018-0015.

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AbstractThe observer design for estimation of back EMF to control the Brushless DC (BLDC) motor is proposed in this paper. Rotor position of the BLDC motor is estimated using the sequence of estimated back EMF. During speed reversal of motor, the actual and estimated values of speed fail to track the reference speed and if corrective action is not taken by the observer, the motor goes into the unstable region. To overcome this problem, the speed estimation algorithm is proposed for BLDC motor control during its speed reversal operation. Infinite Impulse Response (IIR) Butterworth first order l
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Li, Sheng Zhong, Jian Xin Liu, and Yi Fei Xia. "The Pneumatic Position Control System Based on Fuzzy-PID." Applied Mechanics and Materials 488-489 (January 2014): 1142–45. http://dx.doi.org/10.4028/www.scientific.net/amm.488-489.1142.

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Put forward a kind of control system to achieve precise positioning of the pneumatic cylinder, coring to PC upper monitor and using Visual C++ as the development platform. Establish an experimental platform of pneumatic cylinder positioning control system: selecting the parameter self-tuning Fuzzy-PID control algorithm, using the proportional directional control valve, standard cylinder, displacement sensordata acquisition card and other components. the use of MATLAB to simulate and optimize, carry out the actual experiment on the basis of simulation. The experimental results proved the effect
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Shin, Byoung-Ho, Doo Yong Choi, Kwansue Jung, and Zong Woo Geem. "Valve Location Method for Evaluating Drain Efficiency in Water Transmission Pipelines." Water 12, no. 10 (2020): 2759. http://dx.doi.org/10.3390/w12102759.

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Water transmission pipelines, which transport bulk water into storage facilities, usually have a tree-type configuration with large dimensions; thus, the breakage of a pipeline may cause a catastrophic service interruption to customers. Although drain efficiency is closely related to the number of washout and control valves and their locations, there is no useful guideline. This paper proposes a valve locating method by introducing numerical analyses to enumerate drainage time and zone. A time integration method, combined with the Newton–Raphson algorithm, is suggested to resolve drainage time
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Janky, Kristen L., Jessie N. Patterson, Neil T. Shepard, Megan L. A. Thomas, and Julie A. Honaker. "Effects of Device on Video Head Impulse Test (vHIT) Gain." Journal of the American Academy of Audiology 28, no. 09 (2017): 778–85. http://dx.doi.org/10.3766/jaaa.16138.

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AbstractNumerous video head impulse test (vHIT) devices are available commercially; however, gain is not calculated uniformly. An evaluation of these devices/algorithms in healthy controls and patients with vestibular loss is necessary for comparing and synthesizing work that utilizes different devices and gain calculations.Using three commercially available vHIT devices/algorithms, the purpose of the present study was to compare: (1) horizontal canal vHIT gain among devices/algorithms in normal control subjects; (2) the effects of age on vHIT gain for each device/algorithm in normal control s
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Sefat, Morteza Haghighat, Khafiz M. Muradov, Ahmed H. Elsheikh, and David R. Davies. "Proactive Optimization of Intelligent-Well Production Using Stochastic Gradient-Based Algorithms." SPE Reservoir Evaluation & Engineering 19, no. 02 (2016): 239–52. http://dx.doi.org/10.2118/178918-pa.

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Summary The popularity of intelligent wells (I-wells), which provide layer-by-layer monitoring and control capability of production and injection, is growing. However, the number of available techniques for optimal control of I-wells is limited (Sarma et al. 2006; Alghareeb et al. 2009; Almeida et al. 2010; Grebenkin and Davies 2012). Currently, most of the I-wells that are equipped with interval control valves (ICVs) are operated to enhance the current production and to resolve problems associated with breakthrough of the unfavorable phase. This reactive strategy is unlikely to deliver the lo
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Jensen, Konrad Johan, Morten Kjeld Ebbesen, and Michael Rygaard Hansen. "Development of Point-to-Point Path Control in Actuator Space for Hydraulic Knuckle Boom Crane." Actuators 9, no. 2 (2020): 27. http://dx.doi.org/10.3390/act9020027.

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This paper presents a novel method for point-to-point path control for a hydraulic knuckle boom crane. The developed path control algorithm differs from previous solutions by operating in the actuator space instead of the joint space or Cartesian space of the crane. By operating in actuator space, almost all the parameters and constraints of the system become either linear or constant, which greatly reduces the complexity of both the control algorithm and path generator. For a given starting point and endpoint, the motion for each actuator is minimized compared to other methods. This ensures t
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Khadim, Qasim, Mehran Kiani-Oshtorjani, Suraj Jaiswal, Marko K. Matikainen, and Aki Mikkola. "Estimating the Characteristic Curve of a Directional Control Valve in a Combined Multibody and Hydraulic System Using an Augmented Discrete Extended Kalman Filter." Sensors 21, no. 15 (2021): 5029. http://dx.doi.org/10.3390/s21155029.

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The estimation of the parameters of a simulation model such that the model’s behaviour matches closely with reality can be a cumbersome task. This is due to the fact that a number of model parameters cannot be directly measured, and such parameters might change during the course of operation in a real system. Friction between different machine components is one example of these parameters. This can be due to a number of reasons, such as wear. Nevertheless, if one is able to accurately define all necessary parameters, essential information about the performance of the system machinery can be ac
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Dissertations / Theses on the topic "Control algorithm for directional control valves"

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Nožka, Michal. "Řízení hydraulických rozváděčů miniexkavátoru." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-442674.

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This diploma thesis deals with the design of control algorithm for hydraulic directional control valves of a zero-emission mini excavator. Zero emission excavator have same parameters as diesel engine powered version of it. To solve this problem simulations were done for hydraulics and control algorithm of this machine. To find right parameters of simulation models, experiments have been done. There were also proposed some methods to obtain the right set of parameters. The result of this diploma thesis is control algorithm for directional control valves of this very unique mini excavator that
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Mesturini, Davide, Cesare Dolcin, Ulderico Busani, Pietro Marani, Antonella Bonavolonta, and Emma Frosina. "Optimization of directional control valves through downstream compensation approach." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71195.

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Various academic studies show that in the use of common ICE Off-road Vehicles only about 10-15% of the available power at fuel level is actually transformed into useful energy for the actuators. Particularly the Directional Control Valves are responsible for the dissipation of about 35-40% of the hydraulic energy available at the pump level. The machine electrification trend makes it even more urgent to optimize the hydraulic system to ensure greater performance and higher battery autonomy. Traditional Directional Control Valves design solutions neglect important opportunities for reducing los
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Paterson, Alan Stanley. "The development of an expert system to facilitate the synthesis and analysis of hydraulic directional control valves." Thesis, De Montfort University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.253485.

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Kvam, Asgeir. "Detection of Stiction in Control Valves : an Algorithm for the Offshore Oil and Gas Industry." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8973.

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<p>Valve stiction is one of the largest stand-alone reasons for oscillatory behavior in process industry. It is reported by Siemens Oil and Gas that valve stiction is a problem that is hard and time consuming to detect at offshore production plants for oil and gas. As a result, Siemens Oil and Gas wants to develop an algorithm that detects stiction. The algorithm is thought to be a feature of the logging system of Siemens in the future. To better understand the problem and scope of stiction at a offshore oil and gas production plant, the effects of stiction is studied on a model of such a pl
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Wang, Wei-Wen, and 王威文. "Design and Implementation of Omni-directional Mobile Control Algorithm and USB Protocol Processor on FPGA Chips and Their Applications." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/92859349651392136021.

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碩士<br>淡江大學<br>電機工程學系碩士班<br>93<br>In this thesis, a quick omni-directional mobile control algorithm is first proposed. It can improve the disadvantages that most motion control algorithms for the omni-directional mobile robots need a huge operation through the computer and are hard to be realized by using the digital logic circuit. The concepts of vectors, resultant of forces, trigonometric functions, and floating point arithmetic are applied to design this omni-directional mobile control algorithm that needs only one working clock form getting a command to output its result. This high-speed al
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Oberoi, Dhruv. "Enhancing roll stability and directional performance of articulated heavy vehicles based on anti-roll control and design optimization." Thesis, 2011. http://hdl.handle.net/10155/215.

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This research presents an investigation to actively improve the rollover stability of articulated heavy vehicles (AHVs) during high speed manoeuvres using anti-roll control systems. A 3-dimensional (3-D) linear yaw/roll model with 5 degrees of freedom is developed. Based on this model a linear quadratic regulator (LQR) controller is designed to improve the rollover stability of a tractor/semi-trailer combination. A design optimization method for AHVs using genetic algorithms (GAs) and multibody vehicle system models is also presented. AHVs have poor manoeuvrability when travelling at low speed
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Books on the topic "Control algorithm for directional control valves"

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Anders, James E. Solenoid-actuated directional control valves for hydraulic service. Hydraulics Associates, 1997.

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Parker, Philip M. The 2007-2012 World Outlook for Non-Aerospace-Type Pneumatic Flow Control Valves Excluding Directional Control Valves. ICON Group International, Inc., 2006.

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The 2006-2011 World Outlook for Non-Aerospace-Type Hydraulic Pressure Control Relief Valves Excluding Directional Control Valves. Icon Group International, Inc., 2005.

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Parker, Philip M. The 2007-2012 World Outlook for Non-Aerospace-Type Hydraulic Pressure Control Relief Valves Excluding Directional Control Valves. ICON Group International, Inc., 2006.

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The 2006-2011 World Outlook for Non-Aerospace Pneumatic Valves Excluding Directional Control Valves. Icon Group International, Inc., 2005.

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Parker, Philip M. The 2007-2012 World Outlook for Non-Aerospace Pneumatic Valves Excluding Directional Control Valves. ICON Group International, Inc., 2006.

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Parker, Philip M. The 2007-2012 World Outlook for Non-Aerospace Hydraulic Valves Excluding Directional Control Valves. ICON Group International, Inc., 2006.

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The 2006-2011 World Outlook for Non-Aerospace-Type Pneumatic Valves Excluding Directional Control Valves. Icon Group International, Inc., 2005.

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Parker, Philip M. The 2007-2012 World Outlook for Non-Aerospace Pneumatic Directional Control Valves. ICON Group International, Inc., 2006.

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Parker, Philip M. The 2007-2012 World Outlook for Non-Aerospace Hydraulic Directional Control Valves. ICON Group International, Inc., 2006.

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Book chapters on the topic "Control algorithm for directional control valves"

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Pham, Tung Thanh, Dong Van Huong, Chi-Ngon Nguyen, and Thanh Le Minh. "Online Training the Radial Basis Function Neural Network Based on Quasi-Newton Algorithm for Omni-directional Mobile Robot Control." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69814-4_58.

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"Directional Control Valves." In Pneumatic Drives. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-69471-7_12.

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"Directional Control Valves." In Fluid Power Maintenance Basics and Troubleshooting. CRC Press, 1997. http://dx.doi.org/10.1201/b15704-19.

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"Proportional Directional Control Valves." In Pneumatic Drives. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-69471-7_16.

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Banek, Tadeusz, and Edward Kozlowski. "Active Learning in Discrete-Time Stochastic Systems." In Knowledge-Based Intelligent System Advancements. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61692-811-7.ch016.

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A general approach to self-learning based on the ideas of adaptive (dual) control is presented. This means that we consider the control problem for a stochastic system with uncertainty as a leading example. Some system’s parameters are unknown and modeled as random variables with known a’priori distribution function. To optimize an objective function, a controller has to learn the system’s parameter values. The main difficulty comes from the fact that he has to optimize the objective function parallely, i.e., at the same time. Moreover, these two goals considered separately not necessarily coincide and the main problem in the adaptive control is to find the trade-off between them. Looking from the self-learning perspective the two directions are visible. The first is to extract the learning procedure from an optimal adaptive control law and to formulate it as a Cybernetic Principle of self-learning. The second is to consider a control problem with the special objective function. This function has to measure our knowledge about unknown parameters. It can be the Fisher information (Banek &amp; Kulikowski, 2003), the joint entropy (for example Saridis, 1988; Banek &amp; Kozlowski, 2006), or something else. This objective function in the control problem will force a controller to steer a system along trajectories that are rich in information about unknown quantities. In this chapter the authors follow the both directions. First they obtain conditions of optimality for a general adaptive control problem and resulting algorithm for computing extremal controls. The results are then applied to the simple example of the Linear Quadratic Gaussian (LQG) problem. By using analytical results and numerical simulations the authors are able to show how control actions depend on the a’piori knowledge about a system. The first conclusion is that a natural, methodological candidate for the optimal self-learning strategy, the “certainty equivalence principle”, fails to satisfy optimality conditions. Optimal control obtained in the case of perfect system’s knowledge is not directly usable in the partial information case. The need of active learning is an essential factor. The differences between controls mentioned above are visible on a level of computations and should be interpreted on a higher level of cybernetic thinking in order to give a satisfactory explanation, perhaps in the form of another principle. Under absence of the perfect knowledge of parameters values, the control actions are restricted by some measurability requirement and the authors compute the Lagrange multiplier associated with this “information constraint”. The multiplier is called a “dual” or “shadow” price and in the literature of the subject is interpreted as an incremental value of information. The authors compute the Lagrange multiptier and analyze its evolution to see how its value changes as the time goes on. As a second sort of conclusion the authors get the self-learning characteristic coming from the information theory point of view. In the last section the authors follow the second direction. In order to estimate the speed of self-learning they choose as an objective function, the conditional entropy. They state the optimal control problem for minimizing the conditional entropy of the system under consideration. Using general results obtained at the beginning, they get the conditions of optimality and the resulting algorithm for computing the extremal controls. Optimal evolution of the conditional entropy tells much about intensivity of self-learning and its time distribution.
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"Bi-directional detection MMSE algorithm in the LTE system." In Control Engineering and Information Systems. CRC Press, 2015. http://dx.doi.org/10.1201/b17732-68.

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Thomas, George, Timothy Wilmot, Steve Szatmary, Dan Simon, and William Smith. "Evolutionary Optimization of Artificial Neural Networks for Prosthetic Knee Control." In Efficiency and Scalability Methods for Computational Intellect. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3942-3.ch007.

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This chapter discusses closed-loop control development and simulation results for a semi-active above-knee prosthesis. This closed-loop control is a delta control that is added to previously developed open-loop control. The control signal consists of two hydraulic valve settings. These valves control a rotary actuator that provides torque to the prosthetic knee. Closed-loop control using artificial neural networks (ANNs) are developed, which is an intelligent control method. The ANNs are trained with biogeography-based optimization (BBO), which is a recently developed evolutionary algorithm. This research contributes to the field of evolutionary algorithms by demonstrating that BBO is successful at finding optimal solutions to real-world, nonlinear, time varying control problems. The research contributes to the field of prosthetics by showing that it is possible to find effective closed-loop control signals for a newly proposed semi-active hydraulic knee prosthesis. The research also contributes to the field of ANNs; it shows that they are able to mitigate some of the effects of noise and disturbances that will be common in normal operation of a prosthesis and that they can provide better robustness and safer operation with less risk of stumbles and falls. It is demonstrated that ANNs are able to improve average performance over open-loop control by up to 8% and that they show the greatest improvement in performance when there is high risk of stumbles.
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Pires, Robson. "Solution Methods of Large Complex-Valued Nonlinear System of Equations." In Advances in Complex Analysis and Applications. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92741.

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Nonlinear systems of equations in complex plane are frequently encountered in applied mathematics, e.g., power systems, signal processing, control theory, neural networks, and biomedicine, to name a few. The solution of these problems often requires a first- or second-order approximation of nonlinear functions to generate a new step or descent direction to meet the solution iteratively. However, such methods cannot be applied to functions of complex and complex conjugate variables because they are necessarily nonanalytic. To overcome this problem, the Wirtinger calculus allows an expansion of nonlinear functions in its original complex and complex conjugate variables once they are analytic in their argument as a whole. Thus, the goal is to apply this methodology for solving nonlinear systems of equations emerged from applications in the industry. For instances, the complex-valued Jacobian matrix emerged from the power flow analysis model which is solved by Newton-Raphson method can be exactly determined. Similarly, overdetermined Jacobian matrices can be dealt, e.g., through the Gauss-Newton method in complex plane aimed to solve power system state estimation problems. Finally, the factorization method of the aforementioned Jacobian matrices is addressed through the fast Givens transformation algorithm which means the square root-free Givens rotations method in complex plane.
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Jamnal, Gopal Singh, Xiaodong Liu, Lu Fan, and Muthu Ramachandran. "Cognitive Internet of Everything (CIoE)." In Securing the Internet of Things. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9866-4.ch055.

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In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not rely on the users' instructions (Wanglei, 2015). The ambient intelligence is a sensational new information technology paradigm in which people are empowered for assisted living through multiple IoTs sensors environment that are aware of inhabitant presence and context and highly sensitive, adaptive and responsive to their needs. A noble ambient intelligent environment are characterized by their ubiquity, transparency and intelligence which seamlessly integrated into the background and invisible to surrounded users/inhabitant. Cognitive IoE (Internet of Everything) is a new type of pervasive computing. As the ambient smart home is into research only from a couple of years, many research outcomes are lacking potentials in ambient intelligence and need to be more dug around for better outcomes. As a result, an effective architecture of CIoE for ambient intelligent space is missing in other researcher's work. An unsupervised and supervised methods of machine learning can be applied in order to classify the varied and complex user activities. In the first step, by using fuzzy set theory, the input dataset value can be fuzzified to obtain degree of membership for context from the physical layer. In the second step, using K-pattern clustering algorithms to discover pattern clusters and make dynamic rules based on identified patterns. This chapter provides an overview, critical evaluation of approaches and research directions to CIoE.
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Jamnal, Gopal Singh, Xiaodong Liu, Lu Fan, and Muthu Ramachandran. "Cognitive Internet of Everything (CIoE)." In Emerging Trends and Applications of the Internet of Things. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2437-3.ch010.

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In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not rely on the users' instructions (Wanglei, 2015). The ambient intelligence is a sensational new information technology paradigm in which people are empowered for assisted living through multiple IoTs sensors environment that are aware of inhabitant presence and context and highly sensitive, adaptive and responsive to their needs. A noble ambient intelligent environment are characterized by their ubiquity, transparency and intelligence which seamlessly integrated into the background and invisible to surrounded users/inhabitant. Cognitive IoE (Internet of Everything) is a new type of pervasive computing. As the ambient smart home is into research only from a couple of years, many research outcomes are lacking potentials in ambient intelligence and need to be more dug around for better outcomes. As a result, an effective architecture of CIoE for ambient intelligent space is missing in other researcher's work. An unsupervised and supervised methods of machine learning can be applied in order to classify the varied and complex user activities. In the first step, by using fuzzy set theory, the input dataset value can be fuzzified to obtain degree of membership for context from the physical layer. In the second step, using K-pattern clustering algorithms to discover pattern clusters and make dynamic rules based on identified patterns. This chapter provides an overview, critical evaluation of approaches and research directions to CIoE.
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Conference papers on the topic "Control algorithm for directional control valves"

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Chen, J., W. E. Dixon, J. R. Wagner, and D. M. Dawson. "Exponential Tracking Control of a Hydraulic Proportional Directional Valve and Cylinder via Integrator Backstepping." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32076.

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Hydraulic systems are widely used in manufacturing processes and transportation systems where energy intensive operations are performed and “machine” control is vital. A variety of flow control products exist including manual directional control valves, proportional directional control valves, and servo-valves. The selection of a control valve actuation strategy is dependent on the system response requirements, permissible pressure drop, and hardware cost. Although high bandwidth servo-valves offer fast response times, the higher expense, susceptibility to debris, and pressure drop may be proh
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Buono, Dario, Adolfo Senatore, Emma Frosina, Wade Gehlhoff, and Ina I. Costin. "Simulation and Experimental Investigations of a Digital High Speed Close Loop Proportional Directional Valve Using a Solenoid Technology." In BATH/ASME 2016 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpmc2016-1748.

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This paper describes the design, simulation and testing of a high response servo-proportional valve. The purpose of this work is to study the possibilities, using a modeling technology, to increase the dynamic performance of a servo-proportional directional developing new algorithms for the digital control system. The development of digital technology, introduced also in the control of proportional valves, have led to the reduction of the differences between the overall characteristics of proportional and servo valves so that the proportional ones can be a suitable solution in many application
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Chen, Guishun, Guanglin Shi, and Ruijia Huang. "Research on Double-Axis Electro-Hydraulic Proportional Loading Control System With Intelligent Dual-PID for Membrane Materials." In ASME/BATH 2014 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fpmc2014-7824.

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Membrane material is one kind of special material with nonlinear feature. Its mechanical characteristic is so complicated and anisotropic that the performance is quite different between the single-axis loading and the double-axis loading. So the experimental results with the single-axis loading will usually lead to unexpected results. With the development and widely application of membrane materials, the double-axis property experiment plays an increasingly important role all around the world. Considering the situation mentioned above, a double-axis electro-hydraulic proportional loading contr
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Kolks, Giacomo, and Jürgen Weber. "Controller Design for Precise and Efficient Industrial Cylinder Drives Using Independent Metering Valves." In 9th FPNI Ph.D. Symposium on Fluid Power. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpni2016-1514.

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Valve controlled cylinder drives are an obvious choice whenever high loads are manipulated in translational motion with demanding requirements in terms of dynamic properties, accuracy, and costs. Improvements of energetic efficiency of valve control can be achieved by separating metering edges, allowing for different operating modes and thus adapting to different load scenarios. In this paper, multiple-input-multiple-output closed loop control approaches are investigated in order to control cylinder speed and pressure in one cylinder chamber for a configuration with five 2/2-directional valves
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Scherrer, Matthias, Rudolf Scheidl, and Bernhard Manhartsgruber. "Optimization of a Snap Through Spring for a Hydraulic Valve With Hysteresis Response Behavior." In ASME/BATH 2019 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/fpmc2019-1680.

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Abstract The hydraulic binary counter requires switching valves with a hysteretic response. In this paper an elastic snap through element is studied as means for that. The concept is based on a buckling beam which is elastically supported in axial direction in order to adjust its buckling properties with moderate manufacturing precision and to assure a well defined snap through behavior. The elastic support is provided by a cantilever beam. A rigorous optimization is performed heading for a most compact and fatigue durable design which exhibits the required lateral force displacement character
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Daher, N., and M. Ivantysynova. "System Synthesis and Controller Design of a Novel Pump Controlled Steer-by-Wire System Employing Modern Control Techniques." In ASME/BATH 2013 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fpmc2013-4410.

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The demand for power steering systems primarily stemmed from the need for providing assistance to operators in achieving their heading directions, especially as transportation vehicles kept growing in size and mass. While the main requirements for the primitive systems were adequate assistance levels and acceptable controllability, today’s requirements are much different. Given the increased awareness and attention to energy efficiency, productivity, and safety, the field for researching alternative technologies is virtually open. Present-day power steering architectures include hydraulic, ele
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Mesturini, Davide, Cesare Dolcin, Ulderico Busani, Pietro Marani, Antonella Bonavolontà, and Emma Frosina. "Optimization of directional control valves through downstream compensation approach." In 12th International Fluid Power Conference. Technische Universität Dresden, 2020. http://dx.doi.org/10.25368/2020.77.

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Pydah, Sreeram, and Daniel F. Dolan. "Selection of Directional Control Valves Using a Knowledge-Based System." In 1989 SAE International Off-Highway and Powerplant Congress and Exposition. SAE International, 1989. http://dx.doi.org/10.4271/891832.

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Jakobsen, J. H., and M. R. Hansen. "Synthetic Esters and Dynamics of Pressure Compensated Proportional Directional Control Valves." In BATH/ASME 2018 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fpmc2018-8933.

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The purpose of this paper is to help reduce the uncertainty in behavior introduced when changing hydraulic oil from mineral oil (HLP) to biodegradable oil (synthetic esters - HEES) by comparing the behavior of proportional valves with HLP and with HEES at various temperatures. The focus of this article is on classic proportional valves used in the industry. The study is based on tests and modelling with characterization of dynamic behavior in mind. The characterization is based on tests of two pressure compensated proportional valves, one with closed loop control of the spool position, and one
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Hannon, C. L., B. J. Krass, J. Gerstmann, G. Chaudhry, J. G. Brisson, and J. L. Smith. "Development and Testing of a Small-Scale Collins Type Cryocooler." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60388.

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Future spacecraft cooling and sensing systems will require advanced multi-stage cryocoolers capable of providing continuous cooling at multiple temperature levels ranging from 10K to 95K. A multi-stage 10K cryocooler is under development that applies modern microelectronic sophistication to achieve high efficiency in a reliable, compact design. The cryocooler is based upon a novel modification of the Collins cycle, a cycle commonly used in many high-efficiency terrestrial cryogenic machines. Innovations of the design include floating piston expanders and electromagnetic smart valves, which eli
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