基于遗传算法的PID控制器优化设计

遗传算法是一种模拟自然进化而提出的简单高效的优化组合方法。本文研究了比例-积分-微分(PID)控制器优化设计的性能指标的选择问题，介绍了遗传算法的基本原理，给出了利用遗传算法进行PID控制器优化设计的步骤。同时给出了一个用遗传算法进行单环系统PID控制器优化设计的仿真实例。仿真结果表明了遗传算法应用于PID控制器优化设计的可行性和有效性。遗传算法还克服了其它方法的某些弊端。

Optimization Design of PID Controllers Based on Genetic Algorithms

Genetic algorithm(GA) is an efficiently combined and optimized method by simulating the nature evolution. The paper studies the optimization criterion of PID controller, introduces the fundament of GA, and gives the approach to optimize PID controller parameters using GA. The paper also gives an example applying GA to optimize a PID controller of a single loop system. The simulation result gives the possibility and practicability of optimized PID controller with GA. GA overcomes some disadvantages of other ways.