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移相全桥DC/DC变换器智能控制方法研究

Research on the intelligent control of PSFB DC/DC converter
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摘要 利用Matlab/Si mulink工具箱对500 W移相全桥(phase shift full bridge,PSFB)DC/DC变换器建立仿真模型,分别采用传统的PID、模糊PID、神经网络PID等控制方式对系统进行仿真.仿真结果表明:模糊PID和神经网络PID控制方式在调节时间、负载突变等情况下的性能均明显优于传统的PID控制方式. A simulation model of a 500 watts PSFB(phase shift full bridge) DC/DC converter is established by using the Simulink toolbox in Matlab.The traditional PID control strategy,fuzzy PID control strategy,neural network PID control strategy have been used to simulate the model individually.The simulation results prove that fuzzy PID control strategy and neural network PID control strategy are superior to the traditional PID control strategy in regulation time and the features when the abrupt load change occurs.
作者 殷明星 谢勇
出处 《扬州大学学报(自然科学版)》 CAS CSCD 北大核心 2011年第2期65-69,共5页 Journal of Yangzhou University:Natural Science Edition
基金 国家自然科学基金资助项目(60874045)
关键词 移相全桥 DC/DC变换器 智能控制 模糊PID 神经网络PID phase shift full bridge DC/DC converter intelligent control fuzzy PID neural network PID
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参考文献9

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