机构地区: 佛山大学
出 处: 《微特电机》 2005年第5期13-15,共3页
摘 要: 建立了无刷直流电动机双闭环控制系统的数学模型。利用控制系统的数学模型和神经网络的非线性学习能力,设计了一种无刷直流电动机控制系统的故障观测器。仿真结果表明:该神经网络故障观测器输出曲线平滑,无噪声干扰,观测器与控制系统输出的误差小,神经网络故障观测器能非常迅速、准确地估计系统的实际输出。 The math modeling of the double-loop speed control system of brushless DC motor(BLDCM) is presented in the paper. A fault-observer of BLDCM control system based on neural network is designed rely on modeling of BLDCM control system and nonlinear studying capability of neural network. The results of simulation demonstrates the method in this paper is correct and effective, observer based on neural network can estimates rapidly the real output of system.
关 键 词: 无刷直流电动机 故障检测 神经网络 非线性观测器
领 域: [电气工程]