Aspects of Evolutionary Construction of New Flexible PID-fuzzy Controller

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• 关键词：Evolutionary algorithm ; PID algorithm ; Fuzzy system ; Structure selection
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9692
• 期：1
• 页码：450-464
• 全文大小：409 KB
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• 作者单位：Krystian Łapa (19)
  Jacek Szczypta (19)
  Takamichi Saito (20)
  
  19. Institute of Computational Intelligence, Czȩstochowa University of Technology, Czȩstochowa, Poland
  20. Department of Computer Science, Meiji University, Tokyo, Japan
  
• 丛书名：Artificial Intelligence and Soft Computing
• ISBN：978-3-319-39378-0
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9692

文摘

In this paper a new approach for designing control systems is presented. It is based on ensemble of PID controller and flexible neuro-fuzzy system with dynamic structure. A hybrid population-based algorithm is proposed to select the structure and its parameters. In this hybridization a genetic algorithm is used to select the controller structure and evolutionary strategy is used to simultaneously select the controller parameters. The proposed approach allows design interpretable control systems based on different control criteria and different controlled object. The proposed controller structure and proposed learning algorithm were tested on typical control problem.