Design and implementation of a Fuzzy logic supervisory based on SMC controller for a Dual Input-Single Output converter

Abstract

Multi-Input Converters (MIC) are an advancing technology suitable for sustainable energies, due to its ability to incorporate several Renewable Energy Sources (RES). Various structures and topologies of DC–DC converters are developed recently to ensure the highest performances of hybrid RES. The MIC are a typical coupling system which has several operating modes. Thus, their management system and controller design become complicated. This paper reports on the design, modelling, and control of a non-isolated double-input boost converter based on fuzzy supervision strategy. In fact, this work describes the design of a multi-input multi-output (MIMO) supervisor with power sharing abilities. The supervisor decides the percentage of the power for each input source. The studied converter is proficient for the integration of power sources individually or simultaneously. First, the state space model of the dual input single output converter based on the average model technique is presented. Second, an intelligent fuzzy management system is proposed. Meanwhile, the power control is based on sliding mode control (SMC). The stability of the system with the proposed SMC is proved via Lyapunov theory. Finally, a comparative study is conducted betweendifferent controllers in the supervised and non supervised modes, theses controllers (PI and SMC) have been used to control the voltage and the current loops. The validity of the suggested supervisor and its performances is tested experimentally on a laboratory prototype using dSPACE 1104 real time digital board. Experimental results demonstrate the robustness and the flexibility of the Fuzzy supervisor based on SMC (FSMC) compared to one which based on PI control(FPI) under different operating conditions.