基于改进遗传算法的PID参数研究

Research on PID Parameter Based on the Improved Genetic Algorithm

常规PID参数的整定存在着控制精度低,稳定性能差的问题,一直限制了其在高精度及可靠性要求高的系统中的应用。采用改进遗传算法对PID参数进行优化,在寻优空间内快速获得全局最优点。在PID控制器中加入遗传算法模块,快速整定出最优解使系统达到稳态的最佳效果。仿真结果表明,该方法较常规PID参数整定与优化方法,具有更好的控制性能指标,提高了寻优精度,加快收敛速度。

Conventional PID parameter setting has the problem of low control precision and poor stability, which limits its applications in the systems requiring high precision and high reliability. Global optimal point can be found with the improved genetic algorithm（IGA） applied to parameter optimization of PID controller. The optimal so- lution is set to achieve the optimal effect of the steady state by using the PID controller with the addition of the im- proved genetic algorithm calculation module. Simulation shows that this method has better control performance with improved precision and fast convergence than the conventional PID parameters setting and optimization.