H∞ fuzzy Networked control for vehicle lateral dynamics

Chedia Latrach, M. Kchaou, A. Hajjaji, A. Rabhi
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引用次数: 3

Abstract

A vehicle dynamics control system (NCS) has been developed in this study for improving vehicle yaw rate dynamics under unreliable communication links with packet dropouts, and network-induced delay which are two typical network constraints of unreliable transmission. The NCS system consists of a fuzzy H∞ static output feedback controller. After giving the nonlinear model of the vehicle, a Takagi-Sugeno (T-S) fuzzy model representation is first discussed. Next, based on the Lyapunov krasovskii functional approach and a parallel distributed compensation scheme, the gains of the fuzzy controller are determined in terms of Linear Matrix Inequality (LMI). Simulations have been conducted to evaluate performance of the closed loop system under limitation of the network resources caused by data transmission.
车辆横向动力学的H∞模糊网络控制
针对不可靠通信链路中存在丢包和网络延迟这两种典型的网络约束,本文开发了一种车辆动态控制系统(NCS)来改善车辆横摆角速度的动态特性。NCS系统由一个模糊H∞静态输出反馈控制器组成。在给出车辆的非线性模型后,首先讨论了一种Takagi-Sugeno (T-S)模糊模型表示。其次,基于Lyapunov krasovskii泛函方法和并行分布式补偿方案,用线性矩阵不等式(LMI)确定模糊控制器的增益。通过仿真研究了在数据传输造成的网络资源限制下闭环系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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