控制理论(社会学)
PID控制器
计算机科学
功率(物理)
模糊控制系统
电力
模糊逻辑
控制(管理)
控制工程
物理
人工智能
温度控制
工程类
量子力学
出处
期刊:The Journal of Information and Computational Science
[Binary Information Press]
日期:2015-02-10
卷期号:12 (3): 1149-1157
被引量:3
标识
DOI:10.12733/jics20105356
摘要
According to the power assisted control strategy of Electric Power Steering system (EPS), fuzzy-adaptive PID control with correction factor is proposed. The present method can not only change parameters of PID in dynamic process but also keep the form of rules and variable universe of discourse according to the control error. This control strategy overcomes the disadvantages that the flxed parameters cannot meet the requirement of the real-time control of EPS system. It can also improve the control precision. The simulation results show fuzzy-adaptive PID control with correction factor improves transient response and follow-up characteristic e‐ciently compared with traditional PID control and fuzzy-adaptive PID control.
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