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众所周知电机受控所采用的控制方式是确保电机高效稳定运行的关键,目前小波神经网络理论在工业控制领域开始了其广泛的应用推广。因此,本文深入地剖析了小波神经网络在电机控制中的应用。首先,分析了小波神经网络的基本构造;其次,设计了基于小波神经网络的控制系统;最后,进行了仿真研究。仿真结果表明,基于小波神经网络的电机控制系统具有较好的控制稳定性,能够满足电机的控制要求。
It is well known that the control mode adopted by the motor is the key to ensure the efficient and stable operation of the motor. At present, the wavelet neural network theory has started its widespread application and promotion in the industrial control field. Therefore, this paper deeply analyzes the application of wavelet neural network in motor control. Firstly, the basic structure of wavelet neural network is analyzed. Secondly, the control system based on wavelet neural network is designed. Finally, the simulation research is carried out. The simulation results show that the motor control system based on wavelet neural network has better control stability and can meet the control requirements of the motor.