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Acceleration Comfort Guaranteed ASR for Distributed Driving Electric Vehicle via Gain-scheduled Robust Pole-placement

机译:通过增益预定的稳健极点布置实现分布式驾驶电动汽车的加速舒适性保证ASR

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摘要

Extensive literatures have proposed novel algorithms to ensure the stability of acceleration slip regulation (ASR). However, the acceleration comfort, which is sensitive for passengers, is difficult to guarantee when ASR is activated. The reason lies in that traditional wheel dynamic model fails to explain the acceleration oscillation of vehicle, which is not rational for ASR design. In this paper, lagged wheel dynamic model, which considers the oscillation of slip ratio, is employed to design the ASR controller of distributed driving electric vehicle (DDEV). To ensure the acceleration comfort of DDEV, pole-replacement method is applied to improve the dynamic performance of ASR. Considering the parameter perturbation of lagged wheel dynamic model, gain-scheduled robust control is adopted for slip ratio tracking. The algorithm above ensures the stability and comfort of ASR under changing road adhesions and vehicle speeds. Simulation results also validate an obvious reduction of longitudinal shock time.
机译:大量文献提出了新颖的算法,以确保加速度滑差调节(ASR)的稳定性。但是,当ASR激活时,难以保证对乘客敏感的加速舒适性。原因在于传统的车轮动力学模型无法解释车辆的加速度振荡,这对于ASR设计是不合理的。本文采用考虑了滑移率振荡的滞后车轮动力学模型,设计了分布式驱动电动汽车(DDEV)的ASR控制器。为了保证DDEV的加速舒适性,采用极点置换法来提高ASR的动态性能。考虑到滞后车轮动力学模型的参数摄动,采用增益调度鲁棒控制进行滑移率跟踪。上面的算法可确保在变化的路面附着力和车速下,ASR的稳定性和舒适性。仿真结果还证实了纵向冲击时间的明显减少。

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