过驱动电动汽车的线性参数变路径跟踪控制

Alex Gimondi, M. Corno, S. Savaresi
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引用次数: 2

摘要

本文讨论了一种适用于四轮驱动全电动汽车的多层线性参数变路径跟踪控制器。文献中有许多路径跟踪方法,但大多数方法只使用方向盘。如今,电动汽车的大规模引入为车辆动力学控制打开了新的机遇;多个电动机通过差动扭矩提供了一种影响车辆运动的替代方式。多层结构,分别管理方向盘和电机,允许利用预先存在的控制系统,并保持简单的调整过程。此外,通过引入轮胎非线性来增强路径跟踪控制器的鲁棒性。线性参数变化模型提供了一种将轮胎特性纳入设计过程的直接方法。利用H∞技术可以实现调度控制器的无缝合成。所提出的策略已在仿真中与基准集成方法进行了比较,即管理所有致动器的独特控制器方法。在超过车辆限制的双车道变化过程中,多层控制器保证了稳定性和出色的跟踪性能,在高抓地力和低抓地力下的平均误差分别为12厘米和24厘米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear Parameter Varying Path Tracking Control for Over-Actuated Electric Vehicles
This paper discusses a multi-layer linear parameter varying path tracking controller for autonomous full electric vehicles with 4 wheel drive. Many approaches for path tracking are present in the literature, but the majority of them utilize only the steering wheel. Nowadays, the massive introduction of electric vehicles opens new opportunities for vehicle dynamics control; multiple electric motors, via differential torque, offer an alternative way to influence vehicle motion. The multi-layer structure, managing separately steering wheel and electric motors, permits the exploitation of pre-existing control systems and maintains a straightforward tuning process. Furthermore, the robustness of the path tracking controller is enhanced by introducing tire nonlinearities. Linear parameter varying models offer a direct way to incorporate tire characteristics in the design process. Exploiting H ∞ technique the scheduled controller can be seamlessly synthezised. The proposed strategy has been compared in simulation to a benchmark integrated, i.e., a unique controller that manages all the actuators, approach. During double lane changes beyond the vehicle limits, the multi-layer controller guarantees stability and excellent tracking with an average error of 12 and 24 cm on high and low grip respectively.
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