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Robust Lateral Motion Control for In-Wheel-Motor-Drive Electric Vehicles With Network Induced Delays

机译:具有网络感应延迟的轮毂电机驱动电动汽车的鲁棒横向运动控制

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In this article, a robust control scheme for an in-wheel-motor-drive electric vehicle (IWMD EV) is put forward to enhance vehicle lateral stability considering network-induced time delays. A robust sliding mode controller (RSMC) is devised, and the derived control law is partitioned into two portions, i.e., the continuous and discontinuous parts. A Linear-Quadratic-Regulator (LQR) problem with network-induced time delays is formulated with the objectives of minimizing the reference states tracking errors and reducing the control efforts. Then, it is transformed into an iterative solution derivation of a two-point boundary value problem without delays, and the derived solution is obtained and constitutes the continuous part of the control law. Meanwhile, the global sliding mode theory is applied to deriving the discontinuous part of the control law, which has robustness to vehicle parameters variation and modeling uncertainties. The proposed control scheme exhibits better performance in dealing with network-induced time delays compared with the original optimal LQR controller in simulation and Hardware-in-the-Loop (HIL) tests.
机译:在本文中,提出了一种鲁棒的轮毂电动机驱动电动汽车(IWMD EV)控制方案,以考虑到网络引起的时延,从而提高车辆的横向稳定性。设计了鲁棒滑模控制器(RSMC),并且将导出的控制律分为两部分,即连续部分和不连续部分。提出了具有网络引起的时延的线性二次调节器(LQR)问题,其目的是使参考状态跟踪误差最小,并减少控制工作。然后,将其转换为两点边值问题的迭代解推导,而不会产生延迟,从而获得推导解,并构成控制律的连续部分。同时,采用全局滑模理论推导控制律的不连续部分,对车辆参数变化和建模不确定性具有鲁棒性。与原始的最佳LQR控制器相比,在仿真和硬件在环(HIL)测试中,所提出的控制方案在处理网络引起的时延方面表现出更好的性能。

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