Fractional Order PID Controller Based on Improved Particle Swarm Optimization Algorithm
In practice,a fractional order PID controller can be set in the control system to address the issue of unstable control performance.Compared to integer order PID controllers,fractional order PID controllers add λ and μ Two control parameters can improve the performance of the controller during the control process,but it also makes parameter tuning more difficult to use.In order to more easily determine the parameters of the controller,an improved Particle Swarm Optimization(PSO)method needs to be used for tuning.Applying the Absolute Time Error(ITAE)criterion to the control process of the controller can quickly obtain the optimization parameters of the fractional order PID controller.By comparing the simulation results of conventional PID controllers and fractional order PID controllers,the optimized particle swarm optimization algorithm obtains better parameters when applied to the control system,indicating that the control effect of the optimized fractional order PID controller is better than that of the integer order PID controller.
fractional order PIDparticle swarm optimization algorithmparameter tuning
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