PSO Algorithm based Online Self-Tuning of PID Controller

摘要

Proportional-Integral-Derivative ( PID) controller is still widely used in control engineering,and tuning of PID is a crucial operation.We utilize particle swarm optimization algorithm to design an online selftuning framework of PID controller.Our system is simulated in Matlab based on panicle swarm optimization algorithm.Experiment focus on several problems application concerned.Our conclusions include that different fitness function can lead to different time response,and application system should initialize range of each particle as small as possible.Moreover,the conclusions also include that we should choose a modest generations for the online system with linearly inertia weight consume less times evolutionary generation,not a larger one.These conclusions can contribute mostly to application system concerning about calculation cost.