OPTIMAL PWM BASED ON REAL—TIME SOLUTION WITH NEURAL NETWORK |
| |
作者姓名: | ShenZhongting YanYangguang |
| |
作者单位: | AeronauticalPowerSci-TechCenter,NUAA29YudaoStreet,Nanjing210016,P.R.China |
| |
摘 要: | A novel concept of neural network based control in pulse-width modulation(PWM)voltage source inverters is presented.On the one hand,the optimal switching an-gles are obtained in real time by the neural network based controller;on the other hand,the output voltage is ad-justed to fit the expected value by neural network when input voltage or loads change.The structure of neural network is simple and easy to be realized by DSP hard-ware system.No large memory used for the existing opti-mal PWM schemes is required in the system.Theoreticalanlysis of the proposed so-called sparse neural network is provided,and the stability of the system is proved.Un-der the control of neural network the error of output volt-age descends sharply,and the system outputs ac voltage with high precision.
|
关 键 词: | neural-network inverters PWM DSP to-tal harmonic disrortion 脉冲调制器 神经网络 电压逆变器 飞机电源系统 谐波畸变 数字信号处理 |
本文献已被 维普 等数据库收录! |
|