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An Immune Based Multi-parameter Optimization for Intelligent Controller

  • Yu-ling Pei
  • Ren-chao Qin
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 78)

Abstract

To solve the puzzle of multi-parameter optimization problem of intelligent controller, the paper proposed an immune-genetic principle based optimization method of multi-parameter controller. Inspired by biology immune principle, firstly it was defined to some concepts such as antibody, antigen and affinity of the parameter optimization problem. Secondly the immune based optimization process of parameter tuning was depicted in detail. Then it took the parameter tuning of human simulated intelligent controller as an example to make the digital simulation for complex system. The simulation result showed that it is better in control quality than other PID tuning method to the intelligent controller, and more suitable for solving the control puzzle of complicated object.

Keywords

Multi-parameter optimization HSIC immune algorithm parameter tuning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yu-ling Pei
    • 1
  • Ren-chao Qin
    • 2
  1. 1.Dept. of AutomationChongqing Industry Polytechnic CollegeChongqingChina
  2. 2.College of Computer ScienceSouth-West University of Science and TechnologyMianyangChina

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