Research on genetic algorithm optimization based on PID control with two degrees of freedom controller for chaotic system
基于遗传算法的混沌系统二自由度比例-积分-微分控制研究

The proportional-integral-derivative (PID) control algorithm with two degrees of freedom are easy and useful. But when they are applied to nonlinear systems, the parameters are difficult to tune. Using improved genetic algorithm to optimize parameters of PID controller with two degrees of freedom, the convergence rate of parameter optimization is rapid and accurate. When applied to Chen's chaotic system and synchronous motor chaotic system, good results are obtained in simulation experiments.