Fuzzy Logic Based Maximum Power Point Tracking Controller Research Articles

Study, simulation and realization of a fuzzy logic-based MPPT controller in an isolated DC microgrid

This study presents a pioneering methodology for implementing the maximum power point tracking (MPPT) controller, based on fuzzy logic. Through a comprehensive performance analysis, we evaluate its effectiveness compared to the widely used perturb and observe (P&O) algorithm, which is a common MPPT technique. The main objective of our proposed MPPT approach is to improve the performance of a photovoltaic (PV) system. To evaluate the performance of the proposed MPPT controller and compare it with the P&O algorithm, we designed and simulated both controllers using MATLAB/Simulink. We also implemented a prototype of the controllers using an Arduino Mega board, and evaluated their performance under real operating conditions. The experimental results unequivocally confirm that the fuzzy logic-based MPPT controller outperforms the P&O algorithm in terms of performance, speed and accuracy. The fuzzy logic controller offers greater accuracy in tracking the maximum power point under various environmental circumstances, including variations in solar irradiation and connected load. Overall, this work contributes to the development of efficient and reliable MPPT controllers for PV systems, and provides a comparison of the performances of two popular MPPT techniques. Future research could explore other MPPT techniques and evaluate their performance using similar experimental setups.

Fuzzy Logic Based MPPT Controller for a PV System

Abstract: Maximum Power Point Tracking (MPPT) for photovoltaic system has been developed to maximize the produced energy. The output power of a photovoltaic (PV) module depends on the solar irradiance and the operating temperature, therefore it is necessary to implement the maximum power point tracking controller to obtain the maximum power of a PV system regardless of variations in climatic conditions. The output characteristic of a photovoltaic array is nonlinear and changes with solar irradiation and the cell’s temperature. Therefore, a Maximum Power Point Tracking technique is needed to draw peak power from the solar array to maximize the produced energy. In this work, the PV system is designed and simulated using MATLAB consisting of a solar panel array, MPPT controller, boost converter, voltage source convertor, a resistive load and grid. This thesis proposed the design and modeling of a fuzzy controller for tracking the maximum power point of a PV system. The performances of the solar PVs are analyzed with two cases, one with without MPPT controller and other is with the consideration of fuzzy based MPPT controller. These two cases are compared in terms of the output power efficiency, system dynamic response and finally the oscillations behavior.

Design of a Fuzzy Logic-based MPPT Controller for a PV System Employing Sensorless Control of MRAS-based PMSM

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.

Study of Grid Connected Wind Energy System with Fuzzy Logic Based MPPT Controller

<p>Renewable energy sources (RESs) are gaining more importance due to depleting fossil fuel sources in few decades. When compared to other RESs wind energy system is widely available and user friendly in nature. This paper presents modelling and simulation of grid connected PMSG based wind energy conversion system with P&O maximum power point tracking (MPPT) control technique. The PQ controller is used for grid tied inverter to exchange real and reactive power with DC bus voltage regulation. The fuzzy logic controller (FLC) is used for MPPT implementation as it provides better performance as compared to the traditional PID controllers. The various case studies are considered for power management between wind system and the utility grid and the results are evaluated in MATLAB/ Simulink platform.</p>

Implementation of MPPT Techniques for a High Step-up Converter with Voltage Multiplier Module based Photovoltaic System

Renewable energy systems such as Photovoltaic system generate low output, thus, dc/dc converters are widely employed in many renewable energy applications to improve the output voltage. But due to leakage inductance, the conventional step-up converters cannot achieve high step-up conversion with high efficiency. Thus A concept of high step-up conventional converter for photovoltaic system has been explained in this paper. The most important improvement of this step-up converter is that as it is operated with the help of voltage multiplier module, it does not depend on the value of extreme duty ratio. This high step-up converter is designed based on dc-dc boost converter and coupled inductors. This work also proposed the application of Maximum Power Point Tracking (MPPT) techniques to PV system for improvement in output power and overall efficiency. The experimental setup for a high step-up based solar system is worked in Matlab and the results are compared for different types of MPPT techniques which shows that the Fuzzy logic based MPPT controller can meet the load easily and have fewer fluctuations around maximum power point; also this method has well regulated PV output power and has high efficiency when compared to Perturb and Observe and Incremental Conductance methods.

Generic maximum power point tracking controller for small-scale wind turbines

The output power of a wind energy conversion system (WECS) is maximized if the wind rotor is driven at an optimal rotational speed for a particular wind speed. To achieve this, a Maximum Power Point Tracking (MPPT) controller is usually used. A successful implementation of the MPPT controller requires knowledge of the turbine dynamics and instantaneous measurements of the wind speed and rotor speed. To obtain the optimal operating point, rotor-generator characteristics should be known and these are different from one system to another. Therefore, there is a need for an efficient universal MPPT controller for WECS to operate without predetermined characteristics. MPPT control of WECSs becomes difficult due to fluctuation of wind speed and wind rotor inertia. This issue is analyzed in the paper, and an Adaptive Filter together with a Fuzzy Logic based MPPT controller suitable for small-scale WECSs is proposed. The proposed controller can be implemented without predetermined WECS characteristics.