Affiliation:
1. NorthWest Normal University
Abstract
The current Proportion Integration Differentiation(PID) optimization design methods are often difficult to consider the system requirements for quickness,reliability and robustness.So an Improved Genetic Algorithm(IGA) is proposed.The new method of generating the initial population,adaptive change of crossover and mutation probability and effective selection strategy are used to optimize the parameters of PID controller. The simulation experiments with Matlab prove the new approach is valid.
Publisher
Trans Tech Publications, Ltd.
Reference7 articles.
1. H. Bevrani, T. Hiyama, H. Bevrani: International Journal of Electrical Power & Energy Systems, Vol. 33 (2011), p.179–188.
2. Fu-zhong He , You-xian Sun: Control And Decision, Vol. 15 (2000), pp.507-509 (in Chinese).
3. Q G Wang, H W Fung, T H Lee: IEEE Trans Control System Tech, Vol. 7 (1999), pp.457-465.
4. Jin-kun Liu : Advanced PID control and Its MATLAB simulation(Publishing House of Electronics Industry, Beijing 2002).
5. Zalzala A M, Fleming PJ: Genetic Algorithms in Engineering Systems (The Institution of Electrical Engineers, London 1997).
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1 articles.
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