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OPTIMAL PWM BASED ON REAL—TIME SOLUTION WITH NEURAL NETWORK 被引量:1

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