Optimization for a Photovoltaic Pumping System Using Indirect Field Oriented Control of Induction Motor

This paper presents a new contribution of the nonlinear control technique of electrical energy in a wind energy system. The nonlinear sliding mode technique used to control the powers of the DFIG-Generator is connected to the power grid by two converters (grid side and machine side). The proposed model is validated using tracking and robustness tests with a real wind speed. The control was developed under Matlab/Simulink, and the FPGA in the Loop technique was used to design the DFIG model. By employing a co-simulation, the purpose is to test the controller for the FPGA simulated model or system in its entirety. The results obtained by the cο-simulation show the efficiency of the proposed model in terms of speed and robustness with a rate THD = 0.95, and the proposed model of the sliding mode controller shows a significant improvement in the quality of energy produced by the wind system.

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“…We consider the sliding mode surface proposed by SLOTINE. For r = 1, we obtain the following equation [33][34][35]:…”

Section: Control Of the Converter On The Gsc Grid Sidmentioning

confidence: 99%

FPGA in the Loop Implementation for Observer Sliding Mode Control of DFIG-Generators for Wind Turbines

et al. 2021

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“…A comparison of results between the developed control and other recent studies is shown in Table 1. Although the error is minimized compared to [10][11][12], the biggest advantage of this control is the significant response time, and the overshoot was reduced. Comparing the power ripple of this study with [10][11][12], it is remarkable that the ripple has been decreased in a significant way for the controls proposed.…”

Section: Comparison Studymentioning

confidence: 99%

“…Backstepping operates using a switching-table-based algorithm to regulate the active and reactive power. Although it provides better control over the decoupling between the active and reactive power and simple algorithm implementation, it suffers from high power ripples, which can reduce the signal's quality distributed to the grid [11]. To avoid all these problems, several scientific researchers have proposed a series of nonlinear control methods to improve the robustness of the studied system [12].…”

Section: Introductionmentioning

confidence: 99%

Implementation and Validation of Hybrid Control for a DFIG Wind Turbine Using an FPGA Controller Board

et al. 2021

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In this study, a novel control approach for a doubly-fed induction generator (DFIG) is developed and applied to improve the system’s dynamic response and performance for providing high energy quality while avoiding harmonic accumulations. Because of its ease of implementation, field-oriented control (FOC) is frequently used. This control has great sensitivity to the machine’s parametric variations. For this reason, adaptive Backstepping control (ABC) is capable of preserving almost all of the performance and robustness properties. However, its analytical formulation has a problem. To overcome these disadvantages, the hybrid control (HC) is developed and verified to enable rapid response, complete reference tracking, and appropriate dynamic behavior with a low ripple level. This control is a combination of FOC’s and ABC’s control laws. The prepared control is explored by simulation testing using Matlab/Simulink and practical implementation using an FPGA board with actual turbine settings and a real wind profile of Dakhla City, Morocco. The results of hardware simulation show the efficacy of the HC in terms of speed and robustness, with a total harmonic distortion THD = 0.95, a value of THD that reveals the quality of the energy injected into the grid.

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“…In order to increase the efficiency of the pumping system, Saady and Ikram, et al introduced a freestanding, photovoltaic (PV) water-pumping system (PVWPS) powered by an induction motor without energy storage. The perturb and observe (P&O) method and the incremental conductance (INC) MPPT method with a variable, automatically adjusted step size are compared first [12]. Error, Mustapha, and Aziz Derouich investigated a centrifugal pump and a three-phase, asynchronous-motor solar-pumping system.…”

Section: Introductionmentioning

confidence: 99%

Solar Hydrogen Variable Speed Control of Induction Motor Based on Chaotic Billiards Optimization Technique

et al. 2023

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This paper introduces a brand-new, inspired optimization algorithm (the chaotic billiards optimization (C-BO) approach) to effectively develop the optimal parameters for fuzzy PID techniques to enhance the dynamic response of the solar–hydrogen drive of an induction motor. This study compares fuzzy-PID-based C-BO regulators to fuzzy PID regulators based on particle swarm optimization (PSO) and PI-based PSO regulators to provide speed control in solar–hydrogen, induction-motor drive systems. The model is implemented to simulate the production and storage of hydrogen while powering an induction-motor drive which provides a great solution for the renewable energy storage problem in the case of solar pumping systems. MATLAB/Simulink 2021a is used to simulate and analyze the entire operation. The laboratory prototype is implemented in real time using a DSP-DS1104 board. Based on the simulation and experimental results, the proposed fuzzy-PID-based C-BO has reduced speed peak overshoot by 45.3% when compared to a fuzzy PID based PSO speed regulator and by 68.13% when compared to a PI-based PSO speed controller in the case of a large-scale motor. Additionally, the proposed speed regulator has a 6.1% faster speed rising time than a fuzzy-PID-based PSO and a 9.5% faster speed rising time than a PI–PSO speed controller. It has an excellent dynamic responsiveness value when compared to the other speed regulators.

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Optimization for a Photovoltaic Pumping System Using Indirect Field Oriented Control of Induction Motor

Cited by 13 publications

References 24 publications

FPGA in the Loop Implementation for Observer Sliding Mode Control of DFIG-Generators for Wind Turbines

FPGA in the Loop Implementation for Observer Sliding Mode Control of DFIG-Generators for Wind Turbines

Implementation and Validation of Hybrid Control for a DFIG Wind Turbine Using an FPGA Controller Board

Solar Hydrogen Variable Speed Control of Induction Motor Based on Chaotic Billiards Optimization Technique

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