Title: Analysis of controllers for the dynamic response enhancement of the three-port full-bridge DC-DC converter interfacing photovoltaic system

Authors: Venmathi Mahendran; Ramaprabha Ramabadran

Addresses: Department of Electrical and Electronics Engineering, SSN College of Engineering, Kalavakkam 603110, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, SSN College of Engineering, Kalavakkam 603110, Tamil Nadu, India

Abstract: Multiport DC-DC converters have been most commonly used in stand-alone renewable power systems to provide smooth and constant power to the loads. To supply the load without any interruption under various disturbances, the centralised controller in various typologies of multiport converter has been implemented only by using conventional proportional integral (PI) controller. This study presents the output voltage control of the three-port full-bridge converter interfacing photovoltaic (PV) system with three different controllers. The dynamic response of the proposed converter is analysed with the PI controller, fuzzy logic controller (FLC), and the sliding mode controller (SMC). The state space model of the three-port full-bridge converter is developed to analyse the performance using SMC. PI, FLC, and SMC-based control scheme is developed using the MATLAB/Simulink environment. The response of the PI, FLC, and SMC are analysed for line regulation, load voltage regulation, and for the converter parameter variation. The simulation results illustrate that the SMC gives a better steady state and dynamic response when compared with the PI and FLC. The results are presented to confirm the proposed control schemes.

Keywords: power converters; fuzzy control; PI control; renewable energy; sliding mode control; SMC; state-space methods; controller design; DC-DC converters; photovoltaic systems; solar energy; solar power; fuzzy logic controllers; FLCs; simulation; line regulation; load voltage regulation; parameter variation.

DOI: 10.1504/IJAAC.2017.080820

International Journal of Automation and Control, 2017 Vol.11 No.1, pp.67 - 88

Received: 26 Jan 2016
Accepted: 07 May 2016
Published online: 08 Dec 2016 *

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