Earticle

초록

영어

Parameter tuning is the puzzle in control engineering. Aimed at being difficult to make artificially the tuning which results in too many control parameters of intelligent controller, the paper presented a sort of optimization method of control parameters based on immunological principle. In the paper, it made the anatomy of the complexity and existing puzzles of control parameter tuning, presented the mathematical model of controller parameter tuning based on immune principle, gave the optimizing control algorithm of Clone selection. Taking a two-order process with time lag as an example, the control parameters of HSIC algorithm have been optimized by presented tuning model, made the comparative study with PID algorithm parameter optimized by other method, and the process simulation response demonstrated that the optimization tuning method based on immune principle could obtain the control performance and control quality better. Experimental study of simulation shows that it is reasonable and effective to the optimization method of control parameters presented in this paper.

목차

Abstract
 1. Introduction
 2. Optimization Tuning Model of Controller Parameter
  2.1. Definition of Basic Concepts
  2.2. Clone Selection Algorithm
  2.3. Mutation
 3. Parameters Tuning of Controller
  3.1. Objective Function
  3.2. Controller Parameters
 4. Simulation Experiment and Its Analysis
  4.1. Simulation Experiment
  4.2. Experiment Analysis
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Qianjun Xiao [ School of Automation, Chongqing Industry Polytechnic College, Chongqing 401120, China ]
• Qian Wu [ School of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China ]
• Buqing Liu [ College of Automation, Chongqing University, Chongqing 400044, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605