摘要
本文提出了一种基于规则的模糊控制器比例因子自整定方法.此方法采用了专家系统技术,依据大量仿真实验的经验知识和控制理论知识总结出具有启发性的产生式规则,从而建立起了比例因子自整定知识库,并通过使用正向推理最终完成比例因子的闭环自整定.仿真结果证明了该方法的有效性.
An auto-tuning method of scaling factors in fuzzy controller based on rules is developed in this paper. Expert system technology is used in this method. Based on simulation results and control theory knowledge, heuristic production rules are summarized, so the knowledge base of auto-tuning of scaling factors is set up. The closed loop auto-tuning of scaling factors is eventually completed by forward reasoning. Simulation results show the method developed in this paper is effective.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1996年第2期119-124,共6页
Pattern Recognition and Artificial Intelligence
关键词
专家系统
知识库
模糊控制器
Fuzzy Control, Scaling Factor, Auto-Tuning, Expert System
