OPTIMAL PWM BASED ON REAL—TIME SOLUTION WITH NEURAL NETWORK  

作　　者：ShenZhongting YanYangguang 

机构地区：AeronauticalPowerSci-TechCenter,NUAA29YudaoStreet,Nanjing210016,P.R.China

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2002年第1期24-30,共7页南京航空航天大学学报（英文版）

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 

分 类 号：V242.2[航空宇航科学与技术—飞行器设计]