Fuzzy-model-based H∞ dynamic output feedback control with feedforward for autonomous vehicle path tracking

Hong Sun, Changzhu Zhang, Guangyong An, Qijun Chen, Chengju Liu
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引用次数: 7

Abstract

In this paper, the problem of H∞ dynamic output feedback control with feedforward is presented for path tracking in autonomous vehicle. To achieve the desired performance during high-speed driving, both the kinematic and dynamic models of the vehicle are considered. Within the fuzzy-model-based framework, an approach to the fuzzy dynamic output feedback controller design is proposed. The desired yaw rate of the vehicle is regarded as the external disturbance of the vehicle lateral dynamics, which are norm-bounded uncertainties and can be approximated by the curvature of the reference path. By adopting the dynamic model in terms of error with respect to centerline of the reference road and Lyapunov stability theory, a sufficient condition to derive the fuzzy H∞ dynamic output feedback controller is developed. Moreover, to further improve the performance of the overall closed-loop system, the feedforward loop is introduced by estimating the desired steering angle under certain vehicle velocity. The effectiveness of the proposed approach is demonstrated by the co-simulation between Matlab/Simulink and Carsim.
基于模糊模型的H∞前馈动态输出反馈自动驾驶车辆路径跟踪控制
针对自动驾驶汽车的路径跟踪问题,研究了具有前馈的H∞动态输出反馈控制。为了在高速行驶中获得理想的性能,需要同时考虑车辆的运动学和动力学模型。在基于模糊模型的框架下,提出了一种模糊动态输出反馈控制器的设计方法。将车辆的期望横摆角速度视为车辆横向动力学的外部扰动,该扰动是范数有界的不确定性,可由参考路径的曲率近似表示。采用相对于参考道路中心线的误差动态模型和Lyapunov稳定性理论,给出了导出模糊H∞动态输出反馈控制器的充分条件。此外,为了进一步提高整个闭环系统的性能,引入了前馈回路,通过估计一定车速下的期望转向角。通过Matlab/Simulink与Carsim的联合仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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