Model Reference Adaptive Control of Asynchronized Synchronous Motor Based on Neural Network On-Line Identification
Li Liu, Xiaoqiong He, Jian Xiao, Helmut Jakob Weiss · 2006 12th International Power Electronics and Motion Control Conference · 2006
From system control point of view, asynchronized synchronous motor is a complex nonlinear plant with uncertainties, and is hard to be controlled by traditional control method. An excitation control method based on model reference adaptive control of asynchronized synchronous motor using neural network on-line identification is proposed in this paper. This method utilizes the mapping abilities of neural networks to construct the reference model of the plant, and self-learning is achieved by means of neuron. The simulation results show a better robustness and control accuracy of the proposed method.