基于改进混合遗传算法的同步电机参数辨识

针对同步电机参数辨识问题，建立了精确表示非同步采样及高次谐波在内的极值优化模型，利用改进混合遗传算法对该模型进行求解，为提高同步电机瞬态和超瞬态参数的精确辨识打下了良好基础。针对普通遗传算法收敛慢和经典迭代法初始点敏感问题，该改进混合遗传算法结合了全局寻优的遗传算法和局部寻优的模式搜索方法，不需要计算矩阵导数，可实现无需指定初值的电机参数快速求解。理论和仿真实验表明，该方法所需数据窗小，能有效提高参数测量的运行效率和计算精度。

Parameter identification of synchronous machine based on a hybrid genetic algorithm

A parameter extremum optimization model of synchronous machine is developed,in which such error factors as nonsynchronous sampling and harmonics are precisely depicted.In order to realize accurate identification of transient and subtransient parameters,a new measuring method based on hybrid genetic algorithm is improved and then applied into solve this extremum optimization model.In view of that the ordinary genetic algorithm converges slowly and the classic method is sensitive to initial guess,the improved...