Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller

被引：9
|
作者：
Jalali, Kiumars [1 ]
Uchida, Thomas [1 ]
McPhee, John [1 ]
Lambert, Steve [1 ]
机构：
[1] Univ Waterloo, Waterloo, ON, Canada
来源：
SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-ELECTRONIC AND ELECTRICAL SYSTEMS | 2013年 / 6卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
10.4271/2013-01-0688
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
A two-passenger, all-wheel-drive urban electric vehicle (AUTO21EV) with four direct-drive in-wheel motors has been designed and developed at the University of Waterloo. An advanced genetic-fuzzy active steering controller is developed based on this vehicle platform. The rule base of the fuzzy controller is developed from expert knowledge, and a multicriteria genetic algorithm is used to optimize the parameters of the fuzzy active steering controller. To evaluate the performance of this controller, a computational model of the AUTO21EV is driven through several standard test maneuvers using an advanced path-following driver model. As the final step in the evaluation process, the genetic-fuzzy active steering controller is implemented in a hardware-and operator-in-the-loop driving simulator to confirm its performance and effectiveness.
引用
收藏
页码：241 / 254
页数：14
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