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Robust Control of Anti-Lock Brake System for an Electric Vehicle Equipped with an Axle Motor

机译:用于电动车辆的防锁制动系统的鲁棒控制轴电机

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As the main power source of the electric vehicle, the electric motor has outstanding characteristics including rapid response, accurate control and four-quadrant operation. Being introduced into the dynamic chassis control of electrified vehicles, the electric motor torque can be used not only for driving and regenerative braking during normal operating conditions, but also offers a great potential to improve the dynamic control performance of the anti-lock braking under emergency deceleration situations. This paper presents a robust control algorithm for anti-lock braking of a front-wheel-drive electric vehicle equipped with an axle motor. The hydraulic and regenerative braking system of the electric vehicle is modeled as a LPV (linear parameter varying) system. The nonlinearities of the control system are considered as uncertain parameters of a linear fractional transformation. A static-state feedback control algorithm which is robust against the uncertainties is designed to achieve the maximum braking capability of the vehicle. To validate the control performance of the proposed algorithm, simulations are carried out. Based on the simulation results, the proposed anti-lock braking control algorithm can achieve the good robustness and control performance under different road adhesion coefficients, guaranteeing the brake stability of the electric vehicle.
机译:作为电动车辆的主电源,电动马达具有优异的特性,包括快速反应,精确的控制和四象限操作。被引入到电气化车辆的动态底盘控制,电机转矩可不仅用于在正常操作条件下驾驶和再生制动,而且还提供了巨大的潜力,以提高防锁的动态控制性能下紧急制动减速的情况。用于防抱死制动配备有轴电动机前轮驱动电动车辆的本文提出了一种鲁棒控制算法。电动车辆的液压和再生制动系统被建模为LPV(线性参数变化)的系统。控制系统的非线性被认为是一个线性分式变换的不确定参数。这是针对鲁棒的不确定性的静态状态的反馈控制算法被设计为实现所述车辆的最大制动能力。为了验证该算法的控制性能,模拟被执行。基于模拟结果,所提出的防闭锁制动控制算法可以实现不同路面附着系数下的良好的鲁棒性和控制性能,保证了电动车辆的制动稳定性。

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