空间矢量脉宽调制三相异步电动机在人工神经网络控制下的性能

A. Sahu, D. Joshi
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引用次数: 0

摘要

本文研究了人工神经网络控制下空间矢量脉宽调制(SVPWM)三相异步电动机的性能。人工神经网络控制的使用可以提高感应电机的性能,包括增强的速度控制。采用SVPWM技术精确控制施加在电机上的电压,从而提高了感应电机的性能。并与比例积分(PI)控制器进行了比较。研究结果表明,将人工神经网络控制与SVPWM相结合,可以提高三相异步电动机的性能。给出了系统完整的数学模型,并利用MATLAB/Simulink平台进行了仿真。
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Performance of Three-Phase Induction Motor with Space Vector Pulse Width Modulation under Artificial Neural Network Control
In this paper, the performance of a three-phase induction motor with space vector pulse width modulation (SVPWM) technique under artificial neural network (ANN) control is studied. The use of ANN control allows for improved performance of the induction motor, including enhanced speed control. The SVPWM technique is used to accurately control the voltage applied to the motor, resulting in improved performance of the induction motor. The operation of the induction motor is compared with proportional-integral (PI) controller. The results of the study show that the use of ANN control in conjunction with SVPWM leads to improved performance of the three-phase induction motor. The system's complete mathematical model is outlined and simulated using the MATLAB/Simulink platform.
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