The Experts below are selected from a list of 13935 Experts worldwide ranked by ideXlab platform
Yoichi Hori - One of the best experts on this subject based on the ideXlab platform.
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Future vehicle driven by electricity and Control - Research on four-wheel-motored "UOT Electric March II"
IEEE Transactions on Industrial Electronics, 2004Co-Authors: Yoichi HoriAbstract:The electric vehicle (EV) is the most exciting object to apply "advanced motion Control" technique. As an EV is driven by electric motors, it has the following three remarkable advantages: 1) motor torque generation is fast and accurate; 2) motors can be installed in two or four wheels; and 3) motor torque can be known precisely. These advantages enable us to easily realize: 1) high performance antilock braking system and traction Control system with minor feedback Control at each wheel; 2) chassis motion Control like direct Yaw Control; and 3) estimation of road surface condition. "UOT Electric March II" is our novel experimental EV with four in-wheel motors. This EV is made for intensive study of advanced motion Control of an EV.
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future vehicle driven by electricity and Control research on four wheel motored uot electric march ii
International Workshop on Advanced Motion Control, 2002Co-Authors: Yoichi HoriAbstract:The electric vehicle is an exciting object on which to apply "advanced motion Control" technique. As an electric vehicle is driven by electric motors, it has three advantages: (1) motor torque generation is fast and accurate, (2) motors can be installed in 2 or 4 wheels, and (3) motor torque can be known precisely. These advantages enable us to easily realize (1) high performance antilock braking system (ABS) and traction Control system (TCS) with minor feedback Control at each wheel, (2) chassis motion Control like direct Yaw Control (DYC), and (3) estimation of road surface condition. "UOT Electric March II" is our novel experimental EV with four in-wheel motors. This EV is made for intensive study of advanced motion Control of an electric vehicle, which can be firstly realized by electric vehicle.
Fengjun Yan - One of the best experts on this subject based on the ideXlab platform.
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composite nonlinear feedback Control for path following of four wheel independently actuated autonomous ground vehicles
IEEE Transactions on Intelligent Transportation Systems, 2016Co-Authors: Rongrong Wang, Fengjun Yan, Mohammed ChadliAbstract:This paper investigates the path-following Control problem for four-wheel independently actuated autonomous ground vehicles through integrated Control of active front-wheel steering and direct Yaw-moment Control. A modified composite nonlinear feedback strategy is proposed to improve the transient performance and eliminate the steady-state errors in path-following Control considering the tire force saturations, in the presence of the time-varying road curvature for the desired path. Path following is achieved through vehicle lateral and Yaw Control, i.e., the lateral velocity and Yaw rate are simultaneously Controlled to track their respective desired values, where the desired Yaw rate is generated according to the path-following demand. CarSim–Simulink joint simulation results indicate that the proposed Controller can effectively improve the transient response performance, inhibit the overshoots, and eliminate the steady-state errors in path following within the tire force saturation limits.
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robust h output feedback Yaw Control for in wheel motor driven electric vehicles with differential steering
Neurocomputing, 2016Co-Authors: Rongrong Wang, Hui Jing, Mohammed Chadli, Fengjun YanAbstract:This paper investigates the Yaw Control issue for in-wheel-motor (IWM) electric ground vehicles (EGVs) based on the differential steering in the presence of the complete failure of the active front-wheel steering. Differential steering is an emerging steering mechanism, generated from the differential torque between the left and right wheels in IWM EGVs. In case that the regular steering system is defective, differential steering can be utilized to act as the sole steering power, and thus avoid dangerous consequences for vehicles. For this purpose, a robust H ∞ output-feedback Controller based on differential steering is designed to achieve Yaw stabilization, considering that the desired steering angle is uncertain and hard to obtain. Parameter uncertainties for the cornering stiffnesses and the external disturbances are considered to make vehicle robust to different driving conditions. CarSim-Simulink joint simulation results based on a high-fidelity and full-car model verify the effectiveness of the proposed Controller to guarantee the equal vehicle handling and stability.
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composite nonlinear feedback Control for path following of four wheel independently actuated autonomous ground vehicles
Conference on Decision and Control, 2015Co-Authors: Rongrong Wang, Mohammed Chadli, Fengjun Yan, Hamid Reza KarimiAbstract:This paper studies the path following Control problem for four-wheel independently actuated (FWIA) autonomous ground vehicles (AGVs) through integrated Control of active front-wheel steering (AFS) and direct Yaw-moment Control (DYC). A modified composite nonlinear feedback (CNF) strategy is proposed to improve the transient performance and eliminate the steady-state errors in the path following Control considering the tire force saturations, in the presence of the time-varying road curvature for the desired path. The path following is achieved through vehicle lateral and Yaw Control, i.e., the lateral velocity and Yaw rate are simultaneously Controlled to track their respective desired values, where the desired Yaw rate is generated according to the path following demand. CarSim-Simulink joint simulation results indicate that the proposed CNF Controller can effectively improve the transient response performance, inhibit the overshoots and eliminate the steady-state errors in path following within the tire forces saturation limits.
Rongrong Wang - One of the best experts on this subject based on the ideXlab platform.
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composite nonlinear feedback Control for path following of four wheel independently actuated autonomous ground vehicles
IEEE Transactions on Intelligent Transportation Systems, 2016Co-Authors: Rongrong Wang, Fengjun Yan, Mohammed ChadliAbstract:This paper investigates the path-following Control problem for four-wheel independently actuated autonomous ground vehicles through integrated Control of active front-wheel steering and direct Yaw-moment Control. A modified composite nonlinear feedback strategy is proposed to improve the transient performance and eliminate the steady-state errors in path-following Control considering the tire force saturations, in the presence of the time-varying road curvature for the desired path. Path following is achieved through vehicle lateral and Yaw Control, i.e., the lateral velocity and Yaw rate are simultaneously Controlled to track their respective desired values, where the desired Yaw rate is generated according to the path-following demand. CarSim–Simulink joint simulation results indicate that the proposed Controller can effectively improve the transient response performance, inhibit the overshoots, and eliminate the steady-state errors in path following within the tire force saturation limits.
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robust h output feedback Yaw Control for in wheel motor driven electric vehicles with differential steering
Neurocomputing, 2016Co-Authors: Rongrong Wang, Hui Jing, Mohammed Chadli, Fengjun YanAbstract:This paper investigates the Yaw Control issue for in-wheel-motor (IWM) electric ground vehicles (EGVs) based on the differential steering in the presence of the complete failure of the active front-wheel steering. Differential steering is an emerging steering mechanism, generated from the differential torque between the left and right wheels in IWM EGVs. In case that the regular steering system is defective, differential steering can be utilized to act as the sole steering power, and thus avoid dangerous consequences for vehicles. For this purpose, a robust H ∞ output-feedback Controller based on differential steering is designed to achieve Yaw stabilization, considering that the desired steering angle is uncertain and hard to obtain. Parameter uncertainties for the cornering stiffnesses and the external disturbances are considered to make vehicle robust to different driving conditions. CarSim-Simulink joint simulation results based on a high-fidelity and full-car model verify the effectiveness of the proposed Controller to guarantee the equal vehicle handling and stability.
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composite nonlinear feedback Control for path following of four wheel independently actuated autonomous ground vehicles
Conference on Decision and Control, 2015Co-Authors: Rongrong Wang, Mohammed Chadli, Fengjun Yan, Hamid Reza KarimiAbstract:This paper studies the path following Control problem for four-wheel independently actuated (FWIA) autonomous ground vehicles (AGVs) through integrated Control of active front-wheel steering (AFS) and direct Yaw-moment Control (DYC). A modified composite nonlinear feedback (CNF) strategy is proposed to improve the transient performance and eliminate the steady-state errors in the path following Control considering the tire force saturations, in the presence of the time-varying road curvature for the desired path. The path following is achieved through vehicle lateral and Yaw Control, i.e., the lateral velocity and Yaw rate are simultaneously Controlled to track their respective desired values, where the desired Yaw rate is generated according to the path following demand. CarSim-Simulink joint simulation results indicate that the proposed CNF Controller can effectively improve the transient response performance, inhibit the overshoots and eliminate the steady-state errors in path following within the tire forces saturation limits.
Mohammed Chadli - One of the best experts on this subject based on the ideXlab platform.
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composite nonlinear feedback Control for path following of four wheel independently actuated autonomous ground vehicles
IEEE Transactions on Intelligent Transportation Systems, 2016Co-Authors: Rongrong Wang, Fengjun Yan, Mohammed ChadliAbstract:This paper investigates the path-following Control problem for four-wheel independently actuated autonomous ground vehicles through integrated Control of active front-wheel steering and direct Yaw-moment Control. A modified composite nonlinear feedback strategy is proposed to improve the transient performance and eliminate the steady-state errors in path-following Control considering the tire force saturations, in the presence of the time-varying road curvature for the desired path. Path following is achieved through vehicle lateral and Yaw Control, i.e., the lateral velocity and Yaw rate are simultaneously Controlled to track their respective desired values, where the desired Yaw rate is generated according to the path-following demand. CarSim–Simulink joint simulation results indicate that the proposed Controller can effectively improve the transient response performance, inhibit the overshoots, and eliminate the steady-state errors in path following within the tire force saturation limits.
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robust h output feedback Yaw Control for in wheel motor driven electric vehicles with differential steering
Neurocomputing, 2016Co-Authors: Rongrong Wang, Hui Jing, Mohammed Chadli, Fengjun YanAbstract:This paper investigates the Yaw Control issue for in-wheel-motor (IWM) electric ground vehicles (EGVs) based on the differential steering in the presence of the complete failure of the active front-wheel steering. Differential steering is an emerging steering mechanism, generated from the differential torque between the left and right wheels in IWM EGVs. In case that the regular steering system is defective, differential steering can be utilized to act as the sole steering power, and thus avoid dangerous consequences for vehicles. For this purpose, a robust H ∞ output-feedback Controller based on differential steering is designed to achieve Yaw stabilization, considering that the desired steering angle is uncertain and hard to obtain. Parameter uncertainties for the cornering stiffnesses and the external disturbances are considered to make vehicle robust to different driving conditions. CarSim-Simulink joint simulation results based on a high-fidelity and full-car model verify the effectiveness of the proposed Controller to guarantee the equal vehicle handling and stability.
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composite nonlinear feedback Control for path following of four wheel independently actuated autonomous ground vehicles
Conference on Decision and Control, 2015Co-Authors: Rongrong Wang, Mohammed Chadli, Fengjun Yan, Hamid Reza KarimiAbstract:This paper studies the path following Control problem for four-wheel independently actuated (FWIA) autonomous ground vehicles (AGVs) through integrated Control of active front-wheel steering (AFS) and direct Yaw-moment Control (DYC). A modified composite nonlinear feedback (CNF) strategy is proposed to improve the transient performance and eliminate the steady-state errors in the path following Control considering the tire force saturations, in the presence of the time-varying road curvature for the desired path. The path following is achieved through vehicle lateral and Yaw Control, i.e., the lateral velocity and Yaw rate are simultaneously Controlled to track their respective desired values, where the desired Yaw rate is generated according to the path following demand. CarSim-Simulink joint simulation results indicate that the proposed CNF Controller can effectively improve the transient response performance, inhibit the overshoots and eliminate the steady-state errors in path following within the tire forces saturation limits.
Young Hoon Joo - One of the best experts on this subject based on the ideXlab platform.
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power extraction efficiency optimization of horizontal axis wind turbines through optimizing Control parameters of Yaw Control systems using an intelligent method
Applied Energy, 2018Co-Authors: Dongran Song, Jian Yang, Xinyu Fan, Anfeng Liu, Sifan Chen, Young Hoon JooAbstract:Abstract To optimize the power extraction from the wind, horizontal-axis wind turbines are normally manipulated by the Yaw Control system to track the wind direction. How is the potential power extraction efficiency of such wind turbines related to the parameter optimization of a Yaw Control system? We intend to answer this question in this study. First, we develop two Control systems, a direct measurement-based conventional logic Control (Control system 1), and a soft measurement-based advanced model predictive Control (Control system 2). Then, a multi-objective Particle Swarm Optimization-based method is introduced to optimize Control parameters and search for the Pareto Front, which represents different potential performance. On this basis, result investigation and analysis are carried out on an electrical Yaw system of China Ming Yang 1.5 MW wind turbines based on three wind directions with different variations. Experimental results show that, under a large wind direction variation and with a 14% Yaw actuator usage, 0.32% and 0.8% more power extraction efficiency are gained by Control system 1 and 2, respectively, after optimization. The achievable power extraction efficiency for the two Yaw Control systems goes down when the allowable Yaw actuator usage is reduced. For instance, when the Yaw actuator usage is 14%, 4.9% and 2%, the efficiency is 97.19%, 96.76% and 96.37% for Control system 1, and is 97.73%, 96.76% and 95.45% for Control system 2, respectively. Therefore, Control system 2 takes precedence over Control system 1 for having higher efficiency when the allowable Yaw actuator usage is more than 4.9%. We also find that the potential power extraction efficiency of the two Control systems is significantly influenced by the wind direction variation, that is, the optimized efficiency under small wind direction variation is 1.5% higher than that under large wind direction variation. In addition, the parameters of Control system 1 need to be re-optimized according to the wind condition, whereas the ones of Control system 2 may not. Finally, a novel Yaw Control strategy employing the optimized parameters as the query tables is suggested for the real applications.
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maximum power extraction for wind turbines through a novel Yaw Control solution using predicted wind directions
Energy Conversion and Management, 2018Co-Authors: Dongran Song, Jian Yang, Xinyu Fan, Yao Liu, Anfeng Liu, Guo Chen, Young Hoon JooAbstract:Abstract For modern horizontal axis wind turbines (WTs), a Yaw drive mechanism is utilized to adjust the nacelle position to face the wind direction. Depending on historical signals from wind direction sensors, conventional Yaw Control methods could not provide sufficient performance in tracking winds, and thus result in a reduction of wind power extraction. This issue needs to be tackled using advanced Control solutions. Taking advantage of predicted wind directions, a novel Control solution is proposed in this study. Specifically, the proposed solution refers to a novel Control structure that consists of a wind direction predictive model and a novel Yaw Control method. Under the proposed Control structure, a hybrid autoregressive integrated moving average method-based Kalman filter (ARIMA-KF) model is used to predict the wind direction, and two novel Yaw Control methods are proposed: one created by using the predicted wind direction as the tracking reference, and the other based on a model predictive Control (MPC) using a finite Control set. To demonstrate the feasibility and the superiority of the proposed solution, two novel Yaw Controllers are developed and tested through some simulation tests using industrial data. Their performance is compared to the one of two industrial Yaw Controllers. Comparison results show that the two novel Yaw Controllers are capable of reducing Yaw error, and thus increase wind power extraction for the WTs. Meanwhile, it is noticeable that the MPC-based Controller has an advantage in the aspect of reducing Yaw actuator usage.
