论文部分内容阅读
本文提出了一种带有神经网络定子电阻估计器的异步电机模糊直接转矩控制系统结构。采用模糊逻辑选择逆变器的开关状态．有效地提高了系统在启动和转矩给定突变时的转矩响应。为了改善系统低带性能。设计了一个BP神经网络定子电阻估计器．有效地减小了定子电阴变化引起的磁链测量误差。神经元自适应PID控制器作为速度调节器．使系统具有很强的鲁棒性。本系统适用于高性能交流伺能系统或调速系统。
In this paper, an induction motor fuzzy direct torque control system with neural network stator resistance estimator is proposed. Use fuzzy logic to select the inverter’s switching status. It effectively improves the torque response of the system when starting and torque given mutation. In order to improve the system low band performance. A BP neural network stator resistance estimator is designed. Effectively reducing the stator flux changes caused by magnetic flux measurement error. Neuron adaptive PID controller as a speed regulator. Make the system have strong robustness. The system is suitable for high performance AC servo system or speed control system.