基于单神经元自适应控制器的矢量控制系统

Vector Controled Motor Drive with Adaptive Single Neuron Controller

在永磁同步电动机的矢量控制系统中,如果转速环采用传统的PI控制器,因其参数固定,当受到外部扰动时,其动态响应可能不理想.为解决这一问题,利用神经元的自学习和自适应能力建立自适应控制器.在Matlab/Simulink环境下进行的仿真结果表明:采用基于单神经元自适应控制器的永磁同步电动机矢量控制系统具有较好的动态特性.

The dynamic response of the vector controlled system of the permanent magnet synchronous motor （PMSM） is far from ideal when the machine is disturbed, because the parameters of conventional PI controller are kept constant. To solve this problem, using the learning ability of the single neuron, adaptive controller is presented, and the simulation results show the proposed vector control system based on parameter amended with adaptive single neuron controller has better dynamic performance.