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    المصدر: IEEE/ASME Transactions on Mechatronics. 26:1558-1569

    الوصف: This article proposes an individual auxiliary and fault-tolerant control (IAFTC) for the electric vehicles with the steer-by-wire system considering different drivers steering characteristics. It is composed of an individual auxiliary controller, a fault detection and diagnosis controller (FDDC), and an individual fault-tolerant controller. The individual auxiliary controller is used to specifically assist the drivers’ steering behaviors and maintain their steering style when the steering motors are healthy. The FDDC detects and estimates the state and parameter of actuators in real time as well as feedbacks the condition or the extent of partial damage concerning motors to ECU. After the fault-tolerant command is transmitted from ECU, an individual fault-tolerant controller will be turned on to deal with the influence of faulty motor on different drivers. The IAFTC strategy can specifically assist the drivers to track the reference path, reducing the physical and mental workloads of drivers in the no-fault or fault vehicle steering process. The results of simulation using the Matlab and hardware-in-the-loop tests indicate that the controller can provide appropriate assistance control to different drivers in a human–vehicle cooperative method so as to deal with complex actuator's condition.

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    المؤلفون: Chunyan Wang, Wanzhong Zhao, Qin Xiaoxi

    المصدر: IEEE/ASME Transactions on Mechatronics. 23:2628-2637

    الوصف: A four-wheel steer-by-wire vehicle (FSV), which is a combination of a steer-by-wire (SBW) system and a four wheel steering (4WS) system, not only can improve vehicle safety and maneuverability, but also steering flexibility. Considering the parameters, uncertainties of vehicle speed, and tire cornering stiffness, weighted function is solved to express the uncertain system. Aiming at the multiple-input multiple-output (MIMO) system, the structured singular value $\mu $ is used to research FSV under multiple perturbations in this paper. Based on $\mu $ control strategy, $\mu $ controller is designed to track the desired sideslip angle and yaw rate. Thus, the vehicle gets better performance. Compared with SBW and 4WS systems, FSV has better state response under steering angle step input simulation experiment. The advantages of $\mu $ control compared with $H$ ∞ control on FSV have been explained in the simulation experiments. Furthermore, experiment results show that the designed controller can make the vehicle well track the reference model and improve the vehicle maneuverability.