1. Optimal of servo motor parameters using improved cross entropy method.
- Author
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LI Hao-lin, GUO De-bao, JIANG Chen, and CHI Yu-lun
- Subjects
- *
PID controllers , *FUZZY control systems , *PARAMETERS (Statistics) , *SERVOMECHANISMS , *ENTROPY (Information theory) , *GENETIC algorithms - Abstract
In view of the load variable servo motor control, this paper focused on the optimal tuning of fuzzy-PID controller initial parameters using an improved cross-entropy (ICE) precise mathematical framework, which imposed on the system to maintain good control effect. The experiment results of a comparative study demonstrate that the adaptive fuzzy-PID controller using ICE method does find the optimal solution very precisely and convenient, which provides a better response and robustness, a smaller overshoot and a better ITASE performance index than Ziegler-Nichols (ZN) method and genetic algorithms (GA) method. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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