基于遗传算法寻优的PID控制及MATLAB仿真

Optimal PID Control and MATLAB Simulation Based on Genetic Algorithm

文中介绍了遗传算法和基于遗传算法寻优的PID控制设计,采用误差绝对值时间积分性能指标作为参数选择的最小目标函数,利用遗传算法的全局搜索能力,使得在无须先验知识的情况下实现对全局最优解的寻优,以降低PID参数整定的难度,达到总体上提高系统的控制精度和鲁棒性的目的。通过MATLAB仿真结果表明,根据遗传算法寻优设计的PID控制器具有较强的鲁棒性,即使在外部环境恶劣的条件下,系统的控制性能仍具有较好的动态品质和稳态精度。

This article gives a brief introductiori to Genetic Algorithms （GA） and optimization PID control design. The performance index for the integral of time-weighted absolute error is used as the minimum objective function during parameter choice, and the optimal solution to the global optimization in the no prior knowledge condition could be obtained by making use of the global search capability of genetic algorithm in order to reduce difficulty in the PID parameter adjusting and to imp rove the accuracy and robustness of the system. The MATLAB simulation results show that the PID controller designed upon Gas has high robustness. The control system has a good dynamic quality and static precision even under the condition of bad environment or field operations.