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Modeling of Canonical Switching Cell Converter Using Genetic Algorithm

T. V. Viknesh1, V. Manik,an
Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore-641014, India. E-mail: tvviknesh@gmail.com

Computer Modeling in Engineering & Sciences 2017, 113(1), 109-116. https://doi.org/10.3970/cmes.2017.113.107

Abstract

The working of Canonical switching cell (CSC) converter was studied and its equivalent circuit during ON and OFF states were obtained. State space model of CSC converter in ON and OFF states were developed using the Kirchhoff laws. The state space matrices were used to construct the transfer functions of ON & OFF states. The step response of the converter was simulated using MATLAB. The step response curve was obtained using different values of circuit components (L, C1, C2 and RL)and optimized. The characteristic parameters such as rise time, overshoot, settling time, steady state error and stability were determined using the step response curve. The response curve shows that there is no overshoot; the rise time and settling time are very low as expected for a converter and its stability is very high but the amplitude is very. The circuit was tuned to attain the expected amplitude using PID controller with the help of Genetic algorithm. The excellent results of circuits’ characteristic parameters are very useful guideline for constructing such CSC converters for DC-DC conversions. The circuit characteristic parameters are useful in constructing such CSC converters for DC- DC conversions in driving solar energy using solar panel.

Keywords

Canonical switching cell converter, state-space methods, DC-DC converter, step response, stability, power system modeling, switching circuits, genetic algorithm, PID.

Cite This Article

Viknesh, T. V., Manik,an, V. (2017). Modeling of Canonical Switching Cell Converter Using Genetic Algorithm. CMES-Computer Modeling in Engineering & Sciences, 113(1), 109–116.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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