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Vol. 171, Issue 5, May 2014, pp. 25-31




Research on the Three-phase Voltage Aviation Rectifier Based on Neural Network PID Control

Shutuan ZHANG, Lingshun LIU, Yan LI, Zhengyin SHENG

Department of Control Engineering, Naval Aeronautical and Astronautical University, Room 305, No. 188, Twoma Road, Zhifu District, Yantai City,
Shandong Province, 264001, China

E-mail: shutuanzhang@163.com


Received: 11 March 2014 /Accepted: 30 April 2014 /Published: 31 May 2014

Digital Sensors and Sensor Sysstems


Abstract: Aimed to the selection of the PID parameters are very difficult in the rectifier design, and canít realize the online self-turning function of the PID parameters, the three phase voltage source PWM aviation rectifier based on neural network PID control is designed in this paper. This paper analyzes the principle of the voltage source PWM rectifier based on traditional SVPWM, and improves the control algorithm, and completes the hardware design. In addition, the control algorithm, and the circuit are verified through actual experiments. In this rectifier, the PID parameters can realize the function of the online self-turning. The experimental results show that the three-phase PWM rectifier based on neural network control can decrease the harmonic distortion and the power factor reaches to 0.991, which can supply help for the design of the three-phase voltage high power factor aviation rectifier.


Keywords: Aviation rectifier, SVPWM control, Neural network, PID.


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