论文信息 - An Immune Based Optimization Tuning Method for Controller Parameter

An Immune Based Optimization Tuning Method for Controller Parameter

Aimed at the puzzle of parameter tuning the paper proposed a model of parameter tuning based on immune theory. It defined the antibody, antigen and fitness of the parameter tuning,and explored the process of parameter immune tuning, and also described tuning method. Finally it took a high-order process as an example, and simulated a higher-order object. The simulation results show that it is better in dynamic and steady performance, and more effective in tuning method.

[1] Peter J. Bentley,et al. Towards an artificial immune system for network intrusion detection: an investigation of clonal selection with a negative selection operator , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[2] Ryuichi Yokoyama,et al. Application of Genetic Programming for Fine Tuning PID Controller Parameters Designed Through Ziegler-Nichols Technique , 2005, ICNC.

[3] P. Govender,et al. A particle swarm optimization approach for model independent tuning of PID control loops , 2007, AFRICON 2007.

[4] A.A. Khan,et al. Fuzzy PID Controller: Design, Tuning and Comparison with Conventional PID Controller , 2006, 2006 IEEE International Conference on Engineering of Intelligent Systems.

[5] Ming-guang Zhang,et al. Adaptive PID decoupling control based on RBF neural network and its application , 2007, 2007 International Conference on Wavelet Analysis and Pattern Recognition.

[6] Jonathan Timmis,et al. Artificial immune systems as a novel soft computing paradigm , 2003, Soft Comput..

[7] Flávio Neves,et al. PID control of MIMO process based on rank niching genetic algorithm , 2008, Applied Intelligence.

[8] Yew-Soon Ong,et al. Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I , 2005, ICNC.

[9] Wang Wei,et al. A SURVEY OF ADVANCED PID PARAMETER TUNING METHODS , 2000 .