某型无刷直流电动机的神经网络计算机控制设计

A Neural Network Control of BLDCM

在无刷直流电机控制中,会受到负载等非线性因素的影响,实际应用时采用传统的控制策略往往获得的性能指标不理想。神经网络控制是智能控制的一个重要分支,为无刷直流电机的控制策略带来了新的思想和方法。论文设计了一种神经网络的学习算法及神经网络控制,该算法在某型无刷电机控制中显示了其优越性。

Because of the nonlinearity of the motor and its load in BLDCM, conventional control strategy is hard to get perfect performance in practice. As a big branch of the Intelligent Control, Neural Network Control brings new ideas and methods for the control strategy of the speed-control system. The learning algorithm of Radial Basis Function（RBF） Neural Network and the application of Neural Network Control in BLI）CM are studied in this paper. The superiority of the control is proved in the simulation.