Enhancing classic IFOC with Fuzzy Logic technique for speed control of a 3∼ Ebara Pra-50 moto-pump

Chaouali, Houssem; Othmani, Hichem; Mezghani, Dhafer; Mami, Abdelkader

doi:10.1109/sta.2016.7951985

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…In the Table 1 below, an example of a comparative study is presented; it consists of taking the results of a vector and fuzzy regulators combination and then applying them as an input database for the studied ANFIS regulator by means of two different membership functions (triangular and Gaussian) in the MATLAB environment, in addition to the experimental results of the ANFIS controller implementation. As a consequence of the pumping chain dedicated to irrigation simulations, the water flow delivered by the pump was optimized to 34 L/min, in front of 29.06 L/min, for the same system and under the same conditions but by using a PI regulator linked to a scalar control (time and energy gain), and 33 L/min for a pumping chain of more complex architecture and admitting a vector control combined with a fuzzy regulator [43] (investment cost gain). Thus, under optimal conditions (T = 25 • C and Ec = 1000 W/m 2 ), this system showed a gain in efficiency ranging from 2.9% (33 L/min) to 13.9% (29.06 L/min).…”

Section: Resultsmentioning

confidence: 99%

Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

2021

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For several decades, many countries have favored irrigation as a means of regulating, diversifying, and increasing agricultural production to meet the growing domestic demand for food, and even to generate exportable surpluses. As with most Mediterranean countries, Tunisia has inherited a long tradition in irrigation; thus, the management of the scarcity of water resources poses a very important challenge that is gradually increasing due to the effects of climate change undergone by the region and confronting the agricultural sector. Aiming at a new model of sustainable development, ensuring the optimization of water resources management, as well as the protection of natural resources and the environment, this work proposed the modern design of a photovoltaic pumping chain dedicated for drip irrigation, which is controlled using an intelligent neuron-fuzzy controller with an ANFIS architecture and implemented on a Raspberry Pi platform. Thanks to this design, the efficiency of the pumping chain increased exponentially to a value of approximately 95%, achieving water pumping optimization while exploiting renewable energy resources, thus guaranteeing the longevity of water resources, as well as the continuity of diversified agricultural production.

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Section: Resultsmentioning

confidence: 99%

Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

2021

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“…The design of robust control laws using fuzzy logic in the vector control aims To determine the maximum power point by the optimized P&O algorithm; it is the purpose of this work that show simulations of the controlling system based on fuzzy logic technique; comparing its performance with and without MPPT system in different scenarios of solar irradiation and temperature variations. I designate by this fuzzy controller FC1. To control of the mechanical speed of the pump by fuzzy logic; in the publication, I present the results of integrating an FLC instead of a classic proportional‐integral (PI) controller in vector control by speed regulation dedicated for a three‐phased asynchronous motor pump. A comparative study between the two different techniques is presented where a simulations by simulating the developed model of the studied system under MATLAB‐Simulink environment.…”

Section: Design Of Optimization Of Vector Control By Fuzzy Logicmentioning

confidence: 99%

“…I designate by this fuzzy controller FC1. • To control of the mechanical speed of the pump by fuzzy logic; in the publication, 19 I present the results of integrating an FLC instead of a classic proportional-integral (PI) controller in vector control by speed regulation dedicated for a three-phased asynchronous motor pump. A comparative study between the two different techniques is presented where a simulations by simulating the developed model of the studied system under MATLAB-Simulink environment.…”

Section: Design Of Optimization Of Vector Control By Fuzzy Logicmentioning

confidence: 99%

Bond graph modeling and robust control of a photovoltaic generator that powered an induction motor pump via SEPIC converter

Mezghani

Othmani

Mami

2018

Int Trans Electr Energ Syst

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Summary Currently, the majority of economic activities depend on energy management and water management. We note, in the case of Tunisia, that the quantities of water have changed a little during the last 10 years, and the use of energies renewable energy, such as photovoltaic (PV) energy, has been decisive in curbing the increase in conventional and thus reduce the production of greenhouse gases. Optimum matching of loads to PV generator is most desirable for more accurate sizing. Because of the high PV generator's cost, the system designer is mainly interested in its full utilization by optimum matching of the system components during all operating period. Application of PV power to electromechanical loads requires an understanding of the dynamics of such systems. Our system has a hybrid and complex character and requires a good modeling of the energetic point of view before passing the phase of design of control laws. So, I use the graphical approach of modeling called dedicated bond graph for this type of system, and this tool showed very interesting results in the level of the modeling, dimensioning, monitoring, and diagnostics. The application of bond graph technique for the modeling of PV systems is not yet widespread. On the other hand, in order to ensure optimal operation of the system, to guarantee maximum output energy, and to reduce the adverse effects due to load disturbances, it is necessary to have a robust control of the induction machine against its composition and the existence of the coupling between the magnetic flux and the driving torque on the one hand and on the other hand the use of an estimator for the reconstruction of the flux, which is an almost unmeasurable quantity (requires an expensive and fragile). The purpose of this work is to study the pumping station coupled to a PV generator by a graphical modeling called bond graph, after which I design the laws of robust commutations by fuzzy logic. The design of robust control laws using fuzzy logic in the vector control aims to determine the maximum power point by the optimized P&O algorithm, to control of the mechanical speed of the pump, and to determinate of the reference speed that I get a maximum efficiency of the structure. The results of simulations show the robustness and performance of these fuzzy controllers.

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Override Control Based on NARX Model for Ecuador’s Oil Pipeline System

Villalba

Naranjo

García

et al. 2019

Advances in Intelligent Systems and Computing

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Enhancing classic IFOC with Fuzzy Logic technique for speed control of a 3∼ Ebara Pra-50 moto-pump

Cited by 3 publications

References 5 publications

Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

Bond graph modeling and robust control of a photovoltaic generator that powered an induction motor pump via SEPIC converter

Override Control Based on NARX Model for Ecuador’s Oil Pipeline System

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