Application of Direct Torque Control to a Photovoltaic Pumping System with Sliding-mode Control Optimization

Achour, Abdelyazid; Rekioua, Djamila; Mohammedi, Ahmed; Mokrani, Zahra; Rekioua, Toufik; Bacha, Seddik

doi:10.1080/15325008.2015.1102182

Cited by 43 publications

(27 citation statements)

References 25 publications

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“…This step consists of using the Max method expressed by (17) to generate the crisp values varying from V0 to V7 to produce the control output (Fig. 7).…”

Section: Defuzzificationmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Control of Induction Motor for Photovoltaic Water Pumping System

Errouha¹,

Derouich²,

Motahhir³

et al. 2020

Technol Econ Smart Grids Sustain Energy

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This paper aims to improve the induction motor (IM) performance for photovoltaic (PV) water pumping systems (PVWPS) without battery storage. The proposed technique is designed by direct torque control based on fuzzy logic controller (FLC). The purpose is to ensure optimal control of flux reference to reduce motor losses and hence, the efficiency of the PVWPS is improved. The maximum power point tracking (MPPT) is achieved using a variable step size Perturb and Observe (VSS P&O) algorithm. The PV system incorporating the proposed technique is tested and compared with the control scheme based on constant flux reference under a real annual data of atmospheric conditions of the target site. The simulation results indicate the effectiveness of the proposed control strategy in terms of the reduction in stator current, optimizing flux, electrical speed and pumped water.

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“…This step consists of using the Max method expressed by (17) to generate the crisp values varying from V0 to V7 to produce the control output (Fig. 7).…”

Section: Defuzzificationmentioning

confidence: 99%

“…The most used control strategies for IM motor are Field Oriented Control (FOC) [11][12][13][14] and Direct Torque Control (DTC) [15][16][17]. Compared to FOC, DTC provides many advantages such as (i) simple implementation (ii) absence of current controllers, (iii) quick response control, (iv) less machine parameter dependence [18,19].…”

Section: Introductionmentioning

confidence: 99%

Optimal Control of Induction Motor for Photovoltaic Water Pumping System

Errouha¹,

Derouich²,

Motahhir³

et al. 2020

Technol Econ Smart Grids Sustain Energy

View full text Add to dashboard Cite

show abstract

“…Research in this area of development of the MPPT is very vast, we can find as related works; Dahhani et al (2016) present a SMC combined with the support vector machines (SVMs) for the PV water pumping system control to force it to operate at the MPP (Boufounas et al, 2016;Boukadoum, et al, 2017;Faquir et al, 2016;Issaadi, 2017;Jaballah et al, 2017;Meziane and Boumhidi, 2016), the objective is to overcome the limitation of SMC in term of chattering phenomenon, SVM technique is used to predict the unknown part of the PV pumping system model. An application of sliding-mode control strategy to track the maximum power of the PV pumping system based on an induction generator with direct torque control was proposed by Achour et al (2016).…”

Section: Introductionmentioning

confidence: 99%

Design of an adaptive sliding mode controller for efficiency improvement of the MPPT for PV water pumping

Miqoi

Ougli

Tidhaf

2019

IJIEI

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This paper represents a conception and simulation of a photovoltaic (PV) water pump along with a new maximum power point tracker (MPPT) control to ensure the operation of the PV system at a maximum power for various climatic conditions. In particular, we propose a robust tracking controller, an adaptive sliding mode control (ASMC). Our system includes a PV panel, DC/DC boost converter, a DC motor, a centrifuge water pump and an MPPT controller that generates the duty cycle to the boost converter. The proposed controller is compared to a sliding mode control (SMC) and a classic perturb and observe (P&O) algorithm. The system is simulated in MATLAB/Simulink and the results show the good functioning and the improvement of the performance of the PV system using the proposed controller.

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“…The purpose of this regulation is to maintain the DC-Link voltage to its desired value as well as to estimate the reference power or current for the grid-side inverter controller. For this purpose, a proportional−integral (PI) or fuzzy controllers are widely used in the literature [24][25][26][27]. However, PI regulator suffers from long response time and inaccurate regulation under solar irradiation changes.…”

Section: Introductionmentioning

confidence: 99%

A Robust Control of Two-Stage Grid-Tied PV Systems Employing Integral Sliding Mode Theory

et al. 2018

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This contribution considers an improved control scheme for three-phase two-stage grid-tied photovoltaic (PV) power systems based on integral sliding mode control (ISMC) theory. The proposed control scheme consists of maximum power point tracking (MPPT), DC-Link voltage regulation and grid current synchronization. A modified voltage-oriented maximum power point tracking (VO-MPPT) method based on ISMC theory is proposed for design of an enhanced MPPT under irradiation changes. Moreover, a novel DC-Link voltage controller based on ISMC theory is proposed to achieve good regulation of DC-Link voltage over its reference. To inject the generated PV power into the grid with high quality, a voltage-oriented control based on space vector modulation (SVM) and ISMC (VOC-ISMC-SVM) has been developed to control the grid current synchronization. Numerical simulations are performed in a MATLAB/Simulink TM (R2009b, MathWorks, Natick, MA, USA) environment to evaluate the proposed control strategy. In comparison with conventional control schemes, the developed control strategy provides an accurate maximum power point (MPP) tracking with less power oscillation as well as a fast and an accurate DC-Link regulation under varying irradiation conditions. Moreover, the transfer of the extracted power into the grid is achieved with high quality.

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Application of Direct Torque Control to a Photovoltaic Pumping System with Sliding-mode Control Optimization

Cited by 43 publications

References 25 publications

Optimal Control of Induction Motor for Photovoltaic Water Pumping System

Optimal Control of Induction Motor for Photovoltaic Water Pumping System

Design of an adaptive sliding mode controller for efficiency improvement of the MPPT for PV water pumping

A Robust Control of Two-Stage Grid-Tied PV Systems Employing Integral Sliding Mode Theory

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