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Robust Position and Velocity Tracking Control of a Four-wheel Drive and Four-wheel Steered Electric Vehicle

机译:四轮驱动和四轮转向电动汽车的鲁棒位置和速度跟踪控制

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The scope of this paper is the design and evaluation of a robust position and velocity tracking control of a four-wheel drive and four-wheel steered electric vehicle (4WD4WS EV). In an autonomous setup, an $mathcal{H}_{infty}$-controller based on the normalized coprime factor synthesis followed by a flat velocity control with an asymptotic stable tracking error is designed. Optimized force control allocation (CA) is supported by state of the art methods enhanced with the Redistributed Pseudoinverse (RPI) algorithm leading to a robust force distribution in case of actuator failure. The presented methods are applied to a continuous maneuver sequence covering parking as well as the double lane change and the weave test. Realistic and nonlinear disturbances on the steering and drive are considered. Therefore, a high gain observer coupled with SISO-control for each wheel supplements the cascaded control architecture. The results, considering measurement noise of the considered sensors, are discussed. For the given context, such a comprehensive controller structure has not been proposed or studied sufficiently.
机译:本文的范围是对四轮驱动和四轮转向电动汽车(4WD4WS EV)进行鲁棒的位置和速度跟踪控制的设计和评估。在自主设置中, $ \ mathcal {H} _ {\ infty} $ 设计了基于归一化互质因子合成的控制器,然后设计了具有渐近稳定跟踪误差的平面速度控制。通过重新分配的伪逆算法(RPI)增强的最新技术方法可以支持最佳的力控制分配(CA),从而在执行器故障的情况下实现可靠​​的力分配。所提出的方法被应用于包括停车以及双车道变更和编织测试的连续机动序列。考虑了转向和驱动的实际和非线性干扰。因此,高增益观察器与每个车轮的SISO控制相结合,可以补充级联控制体系结构。讨论了考虑所考虑传感器的测量噪声的结果。对于给定的上下文,尚未提出或充分研究这种全面的控制器结构。

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