Morteza Sarailoo; Zahra Rahmani; Behrooz Rezaie

Fuzzy Predictive Control of Step-Down DC-DC Converter Based on Hybrid System Approach

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Author(s)

Morteza Sarailoo ^1,* Zahra Rahmani ² Behrooz Rezaie ²

1. Dept. of Electrical and computer engineering, Babol University of Technology, Babol, 47148 -71167, Iran

2. Faculty of Dept. of electrical and computer engineering, Babol University of Technology, Babol, 47148 -71167, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2014.02.01

Received: 5 Jun. 2013 / Revised: 11 Oct. 2013 / Accepted: 5 Nov. 2013 / Published: 8 Jan. 2014

Index Terms

Step-Down DC-DC Converter, Hybrid Model, Mixed Logical Dynamical Model, Model Predictive Control, Fuzzy Supervisor

Abstract

In this paper, a fuzzy predictive control scheme is proposed for controlling output voltage of a step-down DC-DC converter in presence of disturbance and uncertainty. The DC-DC converter is considered as a hybrid system and modeled by Mixed Logical Dynamical modeling approach. The main objective of the paper is to design a Fuzzy Predictive Control to achieve desired voltage output without increasing complexity of the hybrid model of DC-DC converter in various conditions. A model predictive control is designed based on the hybrid model and applied to the system. Although the performance of the model predictive control method is satisfactory in normal condition, it suffers from lack of robustness in presence of disturbance and uncertainty. So, to succeed in facing up to the problem a fuzzy supervisor is utilized to adjust the main predictive controller based on the measured states of the system. In this paper it is shown that the proposed fuzzy predictive control scheme has advantages such as simplicity and efficiency in normal operation and robustness in presence of disturbance and uncertainty. Through simulations effectiveness of the proposed method is shown.

Cite This Paper

Morteza Sarailoo, Zahra Rahmani, Behrooz Rezaie, "Fuzzy Predictive Control of Step-Down DC-DC Converter Based on Hybrid System Approach", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.2, pp.1-13, 2014. DOI:10.5815/ijisa.2014.02.01

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