基于最优Elman递归神经网络的感应电机驱动及电机参数估计

A machine learning-based Elman recurrent neural network (ERNN) parameter estimator and optimized PI gain-based adaptive indirect field-oriented control (IFOC) strategy is implemented to reduce the improperly field orientation of an induction motor drives (IMDs). To avoid the slow convergence rate, falling into local minima, and provide a derivative-free solution, the nature-inspired metaheuristic ...