Robust H∞ fuzzy networked control for vehicle lateral dynamics

被引：0
|
作者：
Latrach, Chedia [1 ]
Kchaou, Mourad [2 ]
El Hajjaji, Ahmed [1 ]
Rabhi, Abdelhamid [1 ]
机构：
[1] Univ Picardie Jules Verne Modelling, MIS, 7 Rue Moulin Neuf, F-80000 Amiens, France
[2] Univ Sfax, Natl Sch Engineers Sfax, Sfax, Tunisia
来源：
2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC) | 2013年
关键词：
vehicle dynamics; Networked control system (NCS); (T-S) incertain fuzzy model; robust H-infinity control; Linear Matrix Inequality (LMI); SYSTEMS; DESIGN;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Networked control system for vehicle lateral dynamics is developed in this study to improve the cornering stability. By considering the packet dropouts, network-induced delay, road adhesion variations, driver effect and only yaw rate sensor for measuring, a robust H-infinity fuzzy static output feedback controller operating through a communication network is designed. After giving the nonlinear model of the vehicle, its Takagi-Sugeno (T-S) incertain fuzzy model representation is first presented. Next, based on the Lyapunov krasovskii functional approach and a parallel distributed compensation scheme, the gains of the fuzzy controller are determined by solving a set of Linear Matrix Inequalities (LMI). Simulations have been conducted to evaluate the performance of the active cornering stability control system under limitation of the network resources caused by data transmission.
引用
收藏
页码：905 / 910
页数：6
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