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文章摘要
基于神经网络分数阶控制的逆变电源控制策略
Control Strategy for Inverter Based on Neural Network Fractional Order Controller
Received:January 27, 2014  Revised:January 27, 2014
DOI:
中文关键词: 逆变电源  分数阶控制  神经网络
英文关键词: Inverter power supply  Fractional order control  Neural network
基金项目:
Author NameAffiliationE-mail
FAN Bo* Air force Engineering University,College of Air and Missile Defense,Xi’an,Shaan Xi,710051 fanbo2000@163.com 
Li Ling Air force Engineering University,College of Air and Missile Defense,Xi’an,Shaan Xi,710051  
Zhang Qiang Air force Engineering University,College of Air and Missile Defense,Xi’an,Shaan Xi,710051  
Yang XuFeng Air force Engineering University,College of Air and Missile Defense,Xi’an,Shaan Xi,710051  
Bian Gangying Air force Engineering University,College of Air and Missile Defense,Xi’an,Shaan Xi,710051  
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中文摘要:
      为了提高逆变电源的电压输出波形质量,增强电源控制系统的快速响应特性,提出了神经网络自整定分数阶控制器的控制策略。在介绍三相逆变电源电路模型及分数阶 控制器的基础上,采用改进的BP算法对分数阶控制器的参数进行自适应整定,组成逆变电源神经网络分数阶控制器。仿真结构表明,改进的神经网络分数阶控制器控制下的电压输出波形质量及系统的快速响应特性均优于传统的神经网络分数阶控制器,而实物调试实验进一步证明了所设计的控制器的有效性。
英文摘要:
      In order to improve the output-voltage performance and fast response of inverter power supply control system, this paper presented a neural network fractional order controller. Based on introducing the model of three- phase inverter and fractional order controller, this paper used the improved BP algorithm to adjust parameters of fractional order controller. The simulation indicated that the improved one which was designed in this paper is better than the traditional one in the field of fast response and output voltage, and the experiment made further efforts to prove effectiveness of the controller.
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