【摘要】 神经网络具有自学习、自适应能力 ,用于控制时可以不依赖控制对象的数学模型 ,神经网络控制器可克服传统PID控制器在电机参数改变时鲁棒性较差等不足。提出了基于神经元的用于感应电机矢量控制的自适应磁链和转速控制器。该设计适用于交流电机矢量控制系统 ,具有结构简单、易于实现、控制性能好、鲁棒性强等特点更多还原

【Abstract】 The neural network with the capability of self_study and self_adaptive,can control a system without modeling of the controlled plants.An advent of the neural network controller is more strong robustness than the traditional PID conˉtroller when motor parameters varying.The adaptive flux controller and speed controller based on neuron are presented for the induction motor vector control.It is shown that designed scheme is simple in structure,easy in realization,prefect in performance,strong in robustness.更多还原