PID Controller Parameters Optimization Based on Artificial Fish Swarm Algorithm

摘要

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.