基于遗传算法的双闭环系统模糊优化设计

提出一种基于遗传算法的直流双闭环调速系统参数优化设计方法，根据工程技术的要求，选用速度超调量和过渡时间作为参数优化性能指标，将该指标用模糊隶属度函数归一化，再加权平均形成系统优化模型的目标函数。采用计算机数值计算方法，通过仿真获得系统对应参数的动力响应曲线及其性能指标。最后以工程设计的参数为搜索范围，以速度调节器和电流调节器的参数为染色体中的基因，通过遗传算法在搜索范围中优化这些基因，获得优化解，

Fuzzy Optimization Design of Double Loop System Based on Genetic Algorithm

A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for DC double closed loop speed adjusting system.The method covers three steps.Firstly,speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering.These indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system.Secondly,the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation.Finally,parameters of engineering design are expanded as searching space;and parameters of speed regulator and current regulator are taken as genes in chromosome.These genes in searching space are optimized to get best solution by way of genetic algorithm.As shown by experimental results,the parameters designed by this method are capable of significantly improving performance indice of the system,which proves that it is a practical and effective method.