Research Article | OPEN ACCESS
Evaluation of Arm Processor-based Bionic Intelligent Controller for a Buck-boost Converter
M.V. Mini and L. Padma Suresh
Electrical and Electronics Engineering, Noorul Islam Centre for Higher Education,
Kumaracoil, Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology 2015 7:750-757
Received: July 18, 2014 | Accepted: October 17, 2014 | Published: July 10, 2015
Abstract
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.
Keywords:
Ant colony algorithm, ARM processor , buck boost converter , PI controller,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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