PS-FB-ZVZCS PWM Converter Modeling and Simulation Based on the PID Neural Network

Abstract:

In order to overcome the disadvantage of the traditional control methods and general neural network control methods, the above two control methods which used to be applied to the PS-FB-ZVZCS-PWM(Phase-shifted Full-bridge Zero-voltage Zero-current-switching Pulse-Width Modulation, PS-FB-ZVZCS-PWM)converters modeling has been replaced by the PID(Proportional-Integral-Derivative , PID)neural network control. The first PID neural network subnet was used as the outer voltage loop control and the second PID neural network subnet was used as the inner current loop control. The output of the first PID neural network subnet was used as the reference input of the second PID neural network subnet. By the tight integration of two neural network subnets, a dual loop PID neural network control system was got. The result of the simulation which was got by MATLAB software showed the use of PID neural network as a regulator of the double close loop model was not only to achieve the nice control characteristics which are no overshoot, no static error, fast response, short transition time, good tracking performance, but also man-made regulation time was significantly reduced.

• Periodical: Advanced Materials Research (Volumes 328-330)
• Pages: 1947-1952
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.328-330.1947
• Online since: September 2011
• Authors: Sheng Zu Xiong, Huai Lin Shu
• Keywords: Double-Closed Loop, MATLAB, PID Neural Network, PS-FB-ZVZCS-PWM, Regular PID

References

[1] Z.F. Wang, Ch. Li, and Y.M. Wei. Principle and Application of the Soft-switching Power Supply(Electronic Industry Press, China 2006, pp.211-215). (In Chinese).

[2] H.L. Shu. PID Neural Network and its Control System(National Defence Industry Press, China 2006, pp.6-7; 78-82). (In Chinese).

[3] F.L. Wang and Y.W. Zhang. Fault-tolerant control. (Northeastern University Press, China2003). (In Chinese).

[4] X.H. Zhang. Phase-shifted Full-bridge DC Converter ZVZCS based on the DSP. (MS., Harbin University of Science, China 2008), pp.37-38; 51-54. (In Chinese).

[5] R.J. Chu, H.Q. Bi and H. Wu . Control Engineering, Vol. 15 (2008) No. 3, pp.303-309. (In Chinese).

[6] Z.Y. Chen and Y.P. Zou. Power technology, Vol. 5 (2002) No. 7, pp.321-324. (In Chinese).

[7] Sh.Z. Xiong. the Research of the Dual H Bridge Double-peak and Bi-direction Pulse Plating Power Supply and the Application of the Double Close-loop PID Neural Network Control System. (MS., Guangzhou University, China 2011), pp.29-31. (In Chinese).