Vector control of an induction motor fed by a photovoltaic generator

Arrouf, M.; Bouguechal, Nour-Eddine

doi:10.1016/s0306-2619(02)00142-3

Cited by 60 publications

(22 citation statements)

References 5 publications

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“…The mathematical model of the induction machine is given by equations.11 [9,11]. Where R s , L s , R r and L r are the stator and rotor phase resistances and inductances respectively, M is the magnetizing inductance and ω s and ω r are the stator and rotor pulsations respectively.…”

Section: Induction Machine Modelmentioning

confidence: 99%

Control of Photovoltaic Water Pumping System with Battery Storage

Reddy¹

2014

IJAREEIE

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Due to the continuous decrease of the solar cells cost, photovoltaic energy is used in diverse applications. The most important one is the batteries-coupled water pumping system powered by photovoltaic generators. The use of batteries allows the system to deliver a constant water flow during the low light periods and night. With the increased use of this application, more attention has been paid to their optimum utilization. Fuzzy logic controllers provide attractive features such as fast response, accuracy and good performance compared to the classical controllers. Next, a vector control of induction motor fed by a photovoltaic system is studied to improve its dynamic performance. The photovoltaic pumping system is composed of a PV generator, DC-DC converter, batteries, DC-AC converter, a vector controlled induction motor and centrifugal pump. The surplus energy produced by PV panels during light hours charges the batteries and the batteries in turn supply power to the pump during backup energy. A simulation study is presented under variable weather conditions and the results show the effectiveness of the studied method.

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Section: Induction Machine Modelmentioning

confidence: 99%

Control of Photovoltaic Water Pumping System with Battery Storage

Reddy¹

2014

IJAREEIE

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“…The machine side converter controller regulates the speed and the reactive currents flowing from the electrical motor. Vector control techniques are used for designing the converter controllers: a field oriented vector control algorithm [9], [10], [11] is implemented for governing the servomotor while the instantaneous power theory-based algorithm [12], [13], [14], [15] is used to manage the active and reactive currents flowing from the grid side converter. Figure 3 details the configuration of both vector controllers.…”

Section: /400vmentioning

confidence: 99%

Modeling and validation of a flywheel energy storage lab-setup

Díaz‐González

Sumper

Gomis‐Bellmunt

et al. 2012

2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

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Abstract-This work deals with the modeling, control and experimental validation of a flywheel test bench which is part of IREC's lab-scale microgrid. The storage device has been designed as a proof of concept. It is based on a low-speed rotating disk mechanically coupled to a Permanent Magnet Synchronous Machine. The electrical power is exchanged with the external grid by means of a set of back-to-back power converters. These power electronics control the speed of the machine, and thus the active power absorbed or injected by the device, and also regulate the reactive power at the point of common coupling with the external grid. Vector control techniques are used for designing the converter controllers: a field oriented vector control algorithm is implemented for governing the servomotor while the instantaneous power theory-based algorithm is used to manage the active and reactive currents flowing from the grid side converter. The control implementation in the experimental setup has been carried out by means of programming Digital Signal Processors (DSP's). The modeling and control system design has been validated after executing several experiments.

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“…Three phases ACI motor is multi-variables system with the characteristics of high order,non-linear,strong decouple [1].Although many researches have been developed in this field such as methods of vector control (VC) [2,3] and direct torque control (DTC) [4,5],which breakthrough the limitation of traditional methods ,these still lead to unexpected control performance with bad real-time and bad robust due to the error between flux calculation and decouple part when motor speed is changed rapidly or load torque is added suddenly [6].…”

Section: Index Terms-takagi-sugeno Modelfuzzy Cerebellar Model Articumentioning

confidence: 99%

A novel ACI motor vector method based on T-S-FCMAC neural network predictive control algorithm.

Lou

Dai

Lei

2008

2008 International Conference on Information and Automation

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In this paper, a novel predictive control algorithm based on T-S-FCMAC neural network is presented for three phase ACI motor control. On the basis of the principle of vector control, T-S-FCMAC neural network is adopted to build predictive model for motor speed and stator torque current, and predictive control algorithm is put forward to design the regulator with golden selection for motor speed. The presented algorithm reduces the error between flux calculation and decouple part so that it improves greatly the performance of system. The simulation shows its effective.

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Vector control of an induction motor fed by a photovoltaic generator

Cited by 60 publications

References 5 publications

Control of Photovoltaic Water Pumping System with Battery Storage

Control of Photovoltaic Water Pumping System with Battery Storage

Modeling and validation of a flywheel energy storage lab-setup

A novel ACI motor vector method based on T-S-FCMAC neural network predictive control algorithm.

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