PV Based BLDC Motor Driven Air Conditioning System Using MPPT

This paper is about an efficient brushless dc (BLDC) motor drive for solar photovoltaic (SPV) Array based application. A positive luo converter is utilized to extract the maximum available power from the SPV array and the LUO converter is designed to operate on Discontinuous Conduction Mode DCM for Improve the PF. The LUO converter feeding the 3-phase supply to the BLDC motor via VSI circuit. Low frequency signals used for trigger the switches. Single sensor used for monitor the speed of the BLDC motor. A Direct Power Perturb & Observe (DPPO) algorithm is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed control algorithm eliminates phase current sensors and adapts a fundamental frequency switching of the voltage source inverter (VSI), thus avoiding the power losses due to high frequency switching. No additional control or circuitry is used for speed control of the BLDC motor. The speed control can be achieved through a VSI. An appropriate control of positive luo converter through a Direct power perturb and observe (DPPO) is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system offers soft starting of the BLDC motor. The proposed system is designed and modelled such that the performance is not affected under dynamic conditions. The suitability of proposed system at practical operating conditions is demonstrated through simulation results using MATLAB/Simulink followed by an experimental validation. Keyword-brushless dc (BLDC), solar photovoltaic (SPV), A fuzzy logic control (FLC), maximum power point tracking (MPPT), voltage source inverter (VSI) __________________________________________________________________________________________________

Drastic reduction in the cost of power electronic devices and annihilation of the fossil fuels in near future invite to use the solar photovoltaic (SPV) generated electrical energy. The ultimate aim of this paper is to drive a BLBC motor at a high speed with a reduced switching losses which is used fort various purposes including the irrigation pumping systems. To maximize the output power a technique called Maximum Power Point Tracking (MPPT) is utilized in photovoltaic systems regardless of the ceaselessly varying weather conditions electrical at tributes of the PV array output is specifically used to control the DC-DC converter, hence diminishing the intricacy of the system.

Energy Conversion and Management, 2007

This paper presents a brushless dc motor drive for heating, ventilating and air conditioning fans, which is utilized as the load of a photovoltaic system with a maximum power point tracking (MPPT) controller. The MPPT controller is based on a genetic assisted, multi-layer perceptron neural network (GA-MLP-NN) structure and includes a DC-DC boost converter. Genetic assistance in the neural network is used to optimize the size of the hidden layer. Also, for training the network, a genetic assisted, Levenberg-Marquardt (GA-LM) algorithm is utilized. The off line GA-MLP-NN, trained by this hybrid algorithm, is utilized for online estimation of the voltage and current values in the maximum power point. A brushless dc (BLDC) motor drive system that incorporates a motor controller with proportional integral (PI) speed control loop is successfully implemented to operate the fans. The digital signal processor (DSP) based unit provides rapid achievement of the MPPT and current control of the BLDC motor drive. The performance results of the system are given, and experimental results are presented for a laboratory prototype of 120 W.

Air conditioners usages in the homes and offices are the top drivers of global electricity demand for the next three decades. This work proposes an innovative grid-independent, hybrid wind-solar air conditioning model to meet future room cooling demand. This model has 0.3ton capacity, and it is operated with 1.5kW, 48V, BLDC motor drive system. In comparison, with the conventional model, the BLDC based model improves the energy efficiency from 13% to 20% and this model costs 952 USD. A virtual 4kW hybrid model is simulated to analyze the energy generation at the proposed location from different weather conditions to operate this model. This analysis exhibits that a high 57% wind and 69.4% solar energy participation in summer and winter seasons respectively in the total energy generated. This hybrid model and simulation analysis also signifies that the consumer side source generation is a realistic solution to meet the future air-conditioning demand growth due to global warming.

Sustainability

In solar photovoltaic (PV) system-based Brushless DC (BLDC) motors for water pumping application, the role of DC/DC converters is very important. In order to extract the maximum power from the PV array, an efficient DC/DC converter is essential at the intermediate stage. In this work, different DC/DC converter topologies suitable for BLDC motors are proposed. The converters are supported by an optimized maximum power point tracking system to provide a reliable operation. Recent optimization algorithms such as fuzzy logic, perturb and observe, grey wolf, and whale optimization are implemented with the PI controller in maximum power point tracking to maximize the conversion efficiency. The obtained results using SEPIC, LUO, and interleaved LUO converters provide a comparative study in the case of converter output, motor parameters, and grid output. The performance analysis on three different converters and multiple optimization methods are carried out. By analyzing the performance of ...

In this paper, the conventional DC-DC converter is replaced with a High Step-up Converter for the Maximum Power Point Tracking (MPPT) in solar power applications. The performance of converter-inverter technology to drive a brushless DC motor is analysed. The converter switching power losses is eliminated by zero-voltage method in this proposed converter. The fuzzy controlled high step-up converter increases the output voltage from the panel compared to the conventional type. The DC to DC converter is operated at an adjustable duty cycle by the fuzzy logic controller. The advantage of the proposed high step-up converter for the MPPT compared to the conventional type are, the output is efficiently increased and regulated by the boost operation. This avoids the parallel buck operation. The ZVS technique further reduces the power loss due to frequent switching. The proposed fuzzy controlled unidirectional operation of the high-step up MPPT converter is analysed. The experimental results are compared for different inputs and analysed.

International Journal of Technical Research & Science, 2020

In the present scenario, due to the unavailability of power grid in rural areas as well as depleting fossil fuel sources, it causes us to implement newer technologies which rely on renewable energy resources like solar energy, wind energy, etc. As we know solar energy is abundant in the supply and is available during day time in all countries. In this project we are designing and developing a standalone BLDC based solar air cooler. As we know numerous researches has been carried out on irrigation and automotive systems which are power by a PV array and it formed by combining various converters mainly DC-DC and other motor drives, but as the statistics shown, very low work has been carried out in the field of home-appliances. The main challenge while implementing this project is the maintenance of constant speed of the motor. The system consists of the Photovoltaic array which is connected to the sepic dc-dc converter which in turn helps in feeding the VSI and finally supplying the required voltage to the BLDC motor which is coupled to cooling fan of the air cooler. The speed of motor is controlled according to the measured room temperature and switching pulses to the sepic converter is varied according to the temperature changes. BLDC motor is employed due to its high efficiency, high torque to weight ratio and high reliability. The evalution of the proposed system for various temperatures is carried out by simulating the proposed system using MATLAB/Simulink.

Applied Sciences

Photovoltaic (PV) water pumping systems are becoming popular these days. In PV water pumping, the role of the converter is most important, especially in the renewable energy-based PV systems case. This study focuses on one such application. In this proposed work, direct current (DC) based intermediate DC-DC power converter, i.e., a modified LUO (M-LUO) converter is used to extricate the availability of power in the high range from the PV array. The M-LUO converter is controlled efficiently by utilizing the Grey Wolf Optimizer (GWO)-based maximum power point tracking algorithm, which aids the smooth starting of a brushless DC (BLDC) motor. The voltage source inverter’s (VSI) fundamental switching frequency is achieved in the BLDC motor by electronic commutation. Hence, the occurrence of VSI losses due to a high switching frequency is eliminated. The GWO optimized algorithm is compared with the perturb and observe (P&O) and fuzzy logic based maximum power point tracking (MPPT) algorit...

—Renewable energy sources have more importance. This importance is mainly because of limited resource and environmental problems of the conventional energy. Among the all renewable energy resources available, solar energy seems to be a major competitor as it is abundant in nature and also pollution-free. And we can convert this dc from solar panel to single phase AC source by using single phase inverter. This AC source is the supply for BLDC motor drive. And speed control method of BLDC motor with low cost for low power applications can be done by using a power factor corrected bridgeless buck-boost converter. Speed control is by controlling the dc link voltage of the voltage source inverter (VSI). Bridgeless converter reduces the conduction losses in the diode bridge rectifier. Commutation of the BLDC motor is by using VSI, which reduces the switching losses and it avoid the sparking and wear and tear by mechanical commutation and it is known as electronic commutation. Power factor improvement is done by designing the converter in discontinuous inductor current mode (DCM). As compared with other speed controlling method, speed control of BLDC motor by power factor corrected bridge less buck-boost convertor uses reduced number of components. This method has high efficiency and low cost as compared with other speed controlling method of BLDC motor and improved power quality is also achieved. Keywords—Photovoltaic cell, Power factor correction(PFC) Brushless direct current (BLDC)motor, Bridgeless(BL) buck-boost converter, discontinuous inductor current mode (DCM).

2013

The aim of this paper is presentation of an approach for modeling , control and optimization of a photovoltaic pumping system which contains a PV generator , DC-DC boost converter, MPPT controller, DC-AC inverter and a BLDC motor. We use an intelligent control method for searching the maximum power point (MPP). This method uses a fuzzy logic controller applied to a drive a DC–DC converter to an optimal operating point using PV panel’s measured variables. The PWM signals are generated by the interaction of the motor speed closed-loop system and the current hysteresis. The motor reference current is compared with the motor speed feedback signal. The considered model has been implemented in Matlab /simulink environment. The results show the effectiveness of the proposed method under variation irradiation ,in order to increase the performance of the water pumping system. Key-Words: Pumping system, photovoltaic, MPPT, BLDC, Fuzzy logic, Optimization