The Research of Adaptive Fuzzy PID Control Algorithm Based on LQR Approach in DC-DC Converter

The paper introduces a kind of optimized fuzzy-PID control method which adopts linear quadratic regulator (LQR) approach in detail. In many industrial control systems, if the model of a system is unspecific or complex, PID parameters are rather difficult to find, based on the problem this article designed the advanced controller with LQR. On the contrary with the fact that the output voltage is always with heavy harmonic pollution in DC-DC converter using traditional PID controller, it is found that better performance can be achieved. The optimization and simulation results for a buck converter are presented to illustrate the design procedure and its benefits. And also, it can adjust the PID parameters on line and be much better than conventional PID on steady state and anti-jamming, so that it proves the system is feasible, efficient and applied.

[1]  A. El Aroudi,et al.  LQR control of an asymmetrical interleaved boost converter working in inherent DCM , 2005, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[2]  George K. I. Mann,et al.  Analysis of direct action fuzzy PID controller structures , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[3]  Binglian Liu,et al.  Logistics Development in China: A Provider Perspective , 2007, Transportation Journal.

[4]  F.H.F. Leung,et al.  The Control of Switching dc-dc Converters -A General LQR Problem Frank H. F. Leung, Peter K. S. Tam, Member, ZEEE, and C. K. Li, Member, ZEEE , 1991 .

[5]  J. M. Dores Costa Design of linear quadratic regulators for quasi-resonant DC-DC converters , 2001, PESC 2001.

[6]  T. Suntio,et al.  Stability and Performance Analysis of Regulated Converter Systems , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[7]  Miro Milanovic,et al.  Digitally controlled buck converter , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[8]  Hassan B. Kazemian Development of an intelligent fuzzy controller , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

[9]  S. Uran,et al.  Advanced control of buck converter , 2003, IEEE International Conference on Industrial Technology, 2003.