Abstract
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Article Information:
Evaluation of Arm Processor-based Bionic Intelligent Controller for a Buck-boost Converter
M.V. Mini and L. Padma Suresh
Corresponding Author: M.V. Mini
Submitted: July 18, 2014
Accepted: October 17, 2014
Published: July 10, 2015 |
Abstract:
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This study focuses on performance-comparison of different tuning methods for a PI controller applied to a buck-boost converter. Comparison between the controllers is made by analysis of design methodology implementation issues and empirically measured performance. Design of PI controller is based on frequency response of the converter. The optimization of PI controller is based on ant colony algorithm. Experimental results show that, tuning the PI controller using ACO algorithm gave better performance than the conventional algorithm. This is mainly due to the fact ACO is capable of reducing the overshoot without oscillation.
Key words: Ant colony algorithm, ARM processor, buck boost converter, PI controller, , ,
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Cite this Reference:
M.V. Mini and L. Padma Suresh, . Evaluation of Arm Processor-based Bionic Intelligent Controller for a Buck-boost Converter. Research Journal of Applied Sciences, Engineering and Technology, (7): 750-757.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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