Design of a Fuzzy Logic-based MPPT Controller for a PV System Employing Sensorless Control of MRAS-based PMSM
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ISSN:1598-6446 eISSN:2005-4092 http://www.springer.com/12555
Design of a Fuzzy Logic-based MPPT Controller for a PV System Employing Sensorless Control of MRAS-based PMSM Abbas Mahmood Oghor Anwer, Fuad Alhaj Omar, and Ahmet Afsin Kulaksiz* Abstract: The permanent magnet synchronous motors (PMSM) are widely employed in industrial, robotic, water pumping and HVAC applications due to their numerous benefits such as small size, high-energy efficiency, high performance, low inertia and the ability to operate in full load at low speeds. In case the PMSM drive system is supplied from photovoltaic (PV) modules, it can be a perfect match for water pumping or HVAC applications. In such a system, in order to extract full energy from PV modules, a maximum power point tracking (MPPT) algorithm must be employed. This article presents a PV system-fed PMSM drive system with sensorless speed control. The proposed system consists of two main parts. The first part deals with MPPT algorithm based on fuzzy logic controller and the second part deals with PMSM drive system with a sensorless speed estimator by using Model Reference Adaptive System (MRAS) approach to eliminate the use of an encoder. The operation of PMSM is accomplished by using the vector control method to obtain a similar dynamic of the DC motor. The overall system is modelled in Matlab/Simulink environment and simulation results are collected under various operating conditions. Keywords: Fuzzy logic controller, maximum power point tracking, model reference adaptive system, permanent magnet synchronous motor.
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INTRODUCTION
In recent decades, the usage of renewable energy sources has increased to minimize the dependency on fossil fuels [1]. Solar energy is considered one of the most significant renewable energy sources for the reasons that they are clean, pollution-free and non-exhaustible. Furthermore, the implementation of solar energy technologies can reduce the problems of environmental pollution. For such systems, so as to achieve an optimal operation under various meteorological conditions and load variations, maximum power point tracking (MPPT) algorithms have been efficiently used [2–5]. The Maximum Power Point (MPP) is the point on the current-voltage (I-V) curve which corresponds to the maximum possible power output for the given PV module (Pmax ), and the Maximum Power Point Tracker (MPPT) is a device that continuously seeks the MPP under variable weather conditions. It was reported that the Fuzzy Logic (FL)-controller-based MPPT has superior tracking achievement than classical MPPT methods in varying temperature and solar irradiation conditions [5–7]. In this study, in order to decrease the complexity, a non-complicated FL algorithm with just
five fuzzy levels are used. However, it is clear that some effective approaches for tuning the membership function and control rules are significantly required. For eliminating the trial and error method, [8, 9] used optimization techniques. Abadi and Khooban [8] optimized the parameters of input and output member
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