基于遗传算法的鲁棒PID控制器设计

从分析控制系统的性能指标入手,从抗干扰性能和鲁棒性能两方面综合考虑控制器的设计,得到一种鲁棒 PID 控制器的设计思路,把 PID 控制器的设计问题转化为求解一个带鲁棒性能约束的绝对误差积分指标 (IAE) 优化问题。鉴于问题是非凸的,用常规优方法无法得到最优解,采用遗传算法来求解该问题。分别对一阶加纯迟延(FOPDT)和非线性对象进行了仿真,结果表明了方法的有效性,不仅控制系统性能优良,而且抗干扰能力和鲁棒性能也很好。

Robust PID controller design based on genetic algorithm

By analyzing performance index of a control system this paper proposes a controller design method that incorporates disturbance attenuation and robust performance. The robust PID controller design is converted to an optimization problem with a non-convex constraint. Genetic algorithm is used to solve the problem due to its global search ability. Examples of FOPDT and nonlinear process show that the method is effective and the resulting PID settings have good performance of disturbance attenuation and robustness.