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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 139-143
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.
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CITATION
Kexin Wei, Bin Liang, Mingxing Du, Qiang Sun, "The Research of Adaptive Fuzzy PID Control Algorithm Based on LQR Approach in DC-DC Converter", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 139-143, 2008, doi:10.1109/PACIIA.2008.14
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