Abstract/Description

This paper describes the fuzzy logic based robust pole-placement controller for the buck converter working in Continuous Conduction Mode (CCM). The converter operates at a switching frequency of 500 KHz. Pole-placement controller does not show good robustness to the load variations and the change in supply and reference voltages. In order to improve the static and dynamic properties, pole-placement controller supported by decomposed PID fuzzy algorithm is investigated. The performance of both the controllers, pole-placement and optimal pole-placement, is compared and conclusions are drawn. It will be shown that optimal control shows better dynamic performance. MATLAB/SIMULINK based simulation results validate the design.

Location

Room C5

Session Theme

Artificial Intelligence – I

Session Type

Other

Session Chair

Dr. Sajjad Haider

Start Date

23-7-2011 3:55 PM

End Date

23-7-2011 4:15 PM

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Jul 23rd, 3:55 PM Jul 23rd, 4:15 PM

Artificial Intelligence - I: Fuzzy logic based robust pole-placement controller for DC-DC buck converter

Room C5

This paper describes the fuzzy logic based robust pole-placement controller for the buck converter working in Continuous Conduction Mode (CCM). The converter operates at a switching frequency of 500 KHz. Pole-placement controller does not show good robustness to the load variations and the change in supply and reference voltages. In order to improve the static and dynamic properties, pole-placement controller supported by decomposed PID fuzzy algorithm is investigated. The performance of both the controllers, pole-placement and optimal pole-placement, is compared and conclusions are drawn. It will be shown that optimal control shows better dynamic performance. MATLAB/SIMULINK based simulation results validate the design.