摘要
在传统的模型参考自适应(MRAS)速度辨识模型的基础上,用神经网络理论对其可调模型进行了改进。并在无速度传感器直接转矩控制系统中对该速度辨识模型进行了研究,仿真结果验证了该速度辨识模型具有满意的辨识精度和动态性能。
In the traditional model reference adaptive (MRAS) speed identification model, on the basis of using the neural network theory to the adjustable model is improved. And in the speed sensorless direct torque control system for the speed identification model was studied, the simulation results validate the speed identification model has satisfactory precision and dynamic performance.
出处
《电子测试》
2015年第7X期89-91,共3页
Electronic Test
关键词
神经网络
自适应算法
参考模型
无速度传感器
Neural network,Adaptive algorithms,Reference model,No speed sensor,Direct torque control
