Analysis of Controllers for Photovoltaic Fed Brushless DC Motor Based Water Pumping System

2015 ◽  
Vol 787 ◽  
pp. 838-842 ◽  
Author(s):  
M. Pandikumar ◽  
R. Ramaprabha ◽  
Ranganath Muthu
Keyword(s):  
Maximum Power ◽  
Brushless Dc Motor ◽  
Maximum Power Point ◽  
Brushless Dc ◽  
Pumping System ◽  
Pulsewidth Modulation ◽  
Water Pumping ◽  
Three Phase ◽  
Power Point ◽  
Three Phase Inverter

The paper proposes a comparative analysis of brushless DC (BLDC) motor based photovoltaic (PV) water pumping system with two different controllers namely the proportional-integral (PI) and the fuzzy. The controllers are designed such that the maximum power is extracted from the PV source with the incremental conductance (INC) algorithm. The controlled output is given to the boost converter, which acts as the maximum power point tracker (MPPT). It is followed by the three-phase inverter supplying the BLDC drive system. The constant speed operation is achieved via the spacevector pulsewidth modulation (SVPWM) technique in order to obtain constant throughput from the centrifugal pump. The performance of the system is analyzedwithMatLab/Simulink.It is shown that the fuzzy control provides better response then the PI control.

Design and Modeling of Photovoltaic System Fed Brushless DC Motor

2013 ◽  
Vol 768 ◽  
pp. 136-142 ◽  
Author(s):  
M. Pandikumar ◽  
R. Ramaprabha ◽  
Ranganath Muthu
Keyword(s):  
Operating Conditions ◽  
Photovoltaic System ◽  
Brushless Dc Motor ◽  
Modulation Scheme ◽  
Maximum Power Point ◽  
Brushless Dc ◽  
Three Phase ◽  
Power Point ◽  
Vector Modulation ◽  
Three Phase Inverter

The objective of this work is to make a study of the photovoltaic generator and converters used to supply a brushless DC machine actuating a centrifugal pump. This will be carried out by modeling and simulation of the various stages that constitute the overall system, which includes the photovoltaic source, the maximum power point tracker and the three-phase inverter with the space vector modulation scheme The simulation has been carried out using MatLab-Simulink and the results are presented for different operating conditions.

scholarly journals Numerical Performance Evaluation of Solar Photovoltaic Water Pumping System under Partial Shading Condition using Modern Optimization

Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1123 ◽  
Author(s):  
Arfaoui ◽  
Rezk ◽  
Al-Dhaifallah ◽  
Elyes ◽  
Abdelkader
Keyword(s):  
Maximum Power ◽  
Solar Photovoltaic ◽  
Matlab Simulation ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Pumping System ◽  
Water Pumping ◽  
Voltage Curve ◽  
Perturb And Observe ◽  
Power Point

Renewable energy is an attractive solution for water pumping systems particularly in isolated regions where the utility grid is unavailable. An attempt is made to improve the performance of solar photovoltaic water pumping system (SPVWPS) under partial shading condition. Under this condition, the power versus voltage curve has more than one maximum power point (MPP), which makes the tracking of global MPP not an easy task. Two MPP tracking (MPPT) strategies are proposed and compared for tracking MPP of SPVWPS under shading condition. The first method is based on the classical perturb and observe (P&O) and the other method is based on a Salp Swarm Algorithm (SSA). Based on extensive MATLAB simulation, it is found that the SSA method can provide higher photovoltaic (PV) generated power than the P&O method under shading condition. Consequently, the pump flowrate is increased. But, under normal distribution of solar radiation, both MPPT techniques can extract the maximum power but SSA is considered a time-consuming approach. Moreover, SSA is compared with particle swarm optimization (PSO) and genetic algorithm (GA). The obtained results ensure the superiority of SSA compared with PSO and GA. SSA has high successful rate of reaching true global MPP.

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