Optimization of PID controller parameters based on improved quantum inspired evolutionary algorithm

PID controller is a widely used controller,whose performance depends on the optimization of its parameters.An optimization method of PID control parameters is proposed,based on the improved quantum inspired evolutionary algorithm.In this algorithm,each quantum bit of a quantum individual is allowed to learn from different target solutions,which achieves a full exchange of information between the quantum individuals.It makes both the convergence and exploration ability of this algorithm guaranteed,and effectively improves the optimization capability of this algorithm.Compared with other optimization algorithms,the simulation results show that this method can get better control effect and verify the validity of the method.