Fuzzy neural network PID control for electric power steering system

被引：5
|
作者：
Zang, Huaiquan
Liu, Min
机构：
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2007年
关键词：
electric power steering; PID control; fuzzy neural network PID control;
D O I：
10.1109/ICAL.2007.4338643
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
the automobile mathematical model is established on the analysis to the automobile electric power steering system (EPS) structural style and the performance. In order to solve the problem that the most automobile power steering is difficult to determine the PID controller parameter, the article uses the fuzzy neural network PID control in EPS. Through the simulation of PID control and the fuzzy neural network PID control computation, the test result indicated that fuzzy neural network PID the control EPS system has a better robustness compared to traditional PID the control EPS, can improve EPS effectively the steering characteristic and the automobile changes characteristic well.
引用
收藏
页码：643 / 648
页数：6
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