Title :
The Research of Adaptive Fuzzy PID Control Algorithm Based on LQR Approach in DC-DC Converter
Author :
Wei, Kexin ; Sun, Qiang ; Liang, Bin ; Du, Mingxing
Author_Institution :
Dept. of Electr. Eng., Tianjin Univ. of Technol., Tianjin
Abstract :
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.
Keywords :
DC-DC power convertors; adaptive control; fuzzy control; linear quadratic control; three-term control; DC-DC converter; PID parameters; adaptive fuzzy PID control; industrial control systems; linear quadratic regulator; Adaptive control; DC-DC power converters; Environmentally friendly manufacturing techniques; Fuzzy control; Industrial control; Industrial pollution; Optimization methods; Programmable control; Regulators; Three-term control;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.14