Performance Improvement of DC-DC Buck and Boost Converter Using GA Based SMC

P.Melba Mary*, R.Anand**, V.Akila***
* Principal, V. V. College of Engineering, Tisaiyanvilai, Tamil Nadu, India.
** Associate Professor, Department of Electrical and Electronics Engineering, National College of Engineering, Maruthakulam, India.
*** PG scholar, Department of Electrical and Electronics Engineering, National College of Engineering, Maruthakulam, Tamil Nadu, India.
Periodicity:February - April'2014
DOI : https://doi.org/10.26634/jic.2.2.2953

Abstract

This project shows the use of optimization techniques for DC-DC buck and boost converter. Nowadays, dc-dc converters are used in many applications. The sliding mode control based on variable structure system theory has been examined by buck and boost switching mode converter type. In this project, the dynamics response of both buck and boost converter can be increased by using some optimization techniques. The sliding mode control strategy has been proposed to ensure system stability even when the large input voltage and load variation, and the dynamic response can be increased. The sliding surface has been selected by assigning the poles combined with genetic algorithm which it will give sliding regime. The simulation result of the proposed genetic algorithm based SMC strategy is compared with the existing SMC. The proposed GA based SMC gives considerable improvement in faster output voltage response during load variation.

Keywords

Buck Converter, Boost Converter, Sliding Mode Control (SMC), Dynamic Response, Genetic Algorithm (GA).

How to Cite this Article?

Melbamary, P., Anand, R., and Akila, V. (2014). Performance Analysis of PI And Fuzzy Logic Controller For Speed Control of PMBLDC Drive. i-manager’s Journal on Instrumentation and Control Engineering, 2(2), 11-17. https://doi.org/10.26634/jic.2.2.2953

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