基于观测器的车辆横向动力学鲁棒模糊控制

A. Hajjaji, M. Chadli, M. Oudghiri, O. Pagès
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引用次数: 51

摘要

本文采用Takagi-Sugeno (T-S)不确定模糊模型,研究了在道路附着条件发生变化且侧滑角无法测量的情况下,四轮转向车辆动力学的鲁棒模糊控制问题。在给出车辆非线性模型的基础上,讨论了用T-S不确定模糊模型表示车辆非线性模型。其次,基于4WS车辆的不确定模糊模型,设计了模糊控制器和模糊观测器。用线性矩阵不等式(LMI)问题对带有模糊控制器和观测器的车辆闭环稳定性条件进行参数化,利用凸优化技术可以非常有效地求解该问题。利用所研制的观测器和控制器分别对车辆操纵过程进行了数值模拟。仿真结果表明,采用所提出的模糊观测器和模糊控制器对车辆进行控制,可以显著改善车辆的操纵性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observer-based robust fuzzy control for vehicle lateral dynamics
In this paper, the robust fuzzy control for four wheels steering (4WS) vehicle dynamics is studied via a Takagi-Sugeno (T-S) uncertain fuzzy model when the road adhesion conditions change and the sideslip angle is unavailable for measurement. After giving the nonlinear model of the vehicle, its representation by a T-S uncertain fuzzy model is discussed. Next, based on the uncertain fuzzy model of the 4WS Vehicle a fuzzy controller and a fuzzy observer are developed. The closed loop stability conditions of a vehicle with the fuzzy controller and the observer are parameterized in terms of linear matrix inequality (LMI) problem which can be solved very efficiently using the convex optimization techniques. The numerical simulation of the vehicle handling with and without the use of the developed observer and controller has been carried out. The simulation results obtained indicate that considerable improvements in the vehicle handling can be achieved whenever the vehicle is governed by the proposed fuzzy observer and fuzzy controller
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