基于神经网络的PWM优化消谐开关角算法

Calculating Method of Optimizing and Eliminating the Harmonics Switching Angle About PWM Based on Neural Networks

介绍了运用神经网络来实现PWM优化消谐的基本原理,提出了用神经网络中的前向网络BP算法来计算脉冲开关角的方法,并进行了MATLAB仿真。仿真结果表明,使用该计算方法能快速准确地实现优化消谐,并能克服以往使用牛顿迭代法求解方程组时需要已知原方程导数的缺点,使求解过程更加简洁、准确。

Basic principle of PWM selective harmonic based on neural network is introduced, and a calculating method on pulse switching angle based on BP method of feed - forward network is presented in this paper. At the same time, the result of MATLAB is given, it indicates that this kind of method can be exactly realized to eliminate the harmonics and it can overcome the shortcoming that in the past using Newton iterative ways need to know the derivative of original equation, and it makes that the process of calculating is more compact and veracious.