Title :
PID Controller Parameters Optimization Based on Artificial Fish Swarm Algorithm
Author :
Cheng, Zeng ; Hong, Xu
Author_Institution :
Inst. of Electron. Eng., Mianyang, China
Abstract :
Parameter optimization is the core of PID controller design, for which, an approach based on artificial fish swarm algorithm(AFSA) is proposed. Experimental results verify the validity and feasibility of the proposed approach, and the results show that the approach is better than PSO algorithm, it can obtain the parameters with better control performances faster response speed, shorter adjustment time and smaller overshoot.
Keywords :
control system synthesis; particle swarm optimisation; three-term control; PID controller design; PID controller parameters optimization; PSO algorithm; artificial fish swarm algorithm; better control performances; faster response speed; proportional integral derivative control; shorter adjustment time; smaller overshoot; Algorithm design and analysis; Genetic algorithms; Marine animals; Optimization; Robustness; Tuning; Visualization; PID control; artificial fish swarm algorithm; control performance; parameter optimization;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4673-0470-2
DOI :
10.1109/ICICTA.2012.73
