Adaptive Neuro Fuzzy based soft starting of voltage-controlled induction motor drive

Rajaji, L.; Kumar, C. Agees

doi:10.1109/secon.2008.4494337

Cited by 11 publications

(8 citation statements)

References 13 publications

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“…The induction motor model in stationary reference frame has been used in the simulation [15][16]. The details of the simulation of the induction motor and ac voltage controller have been shown in many researches [8][9][10][11][12][13].…”

Section: Computer Simulationmentioning

confidence: 99%

“…1. This system has been used in speed control of three-phase induction motor in many literatures [1]- [11]. Although this technique are characterized by low cost, simple and rugged design, it is suffering from many difficulties as high harmonics in the supply currents, narrow speed control range, and different performance depending on the shape of supply currents.…”

Section: Introductionmentioning

confidence: 99%

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A novel digital implementation of AC voltage controller for speed control of induction motor

Eltamaly

Alolah

Hamouda

et al. 2010

IJPEC

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In this paper a novel, simple and reliable digital firing scheme has been implemented for speed control of three-phase induction motor using ac voltage controller. The system consists of three-phase supply connected to the three-phase induction motor via three triacs and its control circuit. The ac voltage controller has three modes of operation depending on the shape of supply current. The performance of the induction motor differs in each mode where the speed is directly proportional with firing angle in two modes and inversely in the third one. So, the control system has to detect the current mode of operation to choose the correct firing angle of triacs. Three sensors are used to feed the line currents to control system to detect the mode of operation. The control strategy is implemented using a low cost Xilinx Spartan-3E field programmable gate array (FPGA) device. Three PI-controllers are designed on FPGA to control the system in the three-modes. Simulation of the system is carried out using PSIM computer program. The simulation results show stable operation for different loading conditions especially in mode 2/3. The simulation results have been compared with the experimental results from laboratory prototype.

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Section: Computer Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel digital implementation of AC voltage controller for speed control of induction motor

Eltamaly

Alolah

Hamouda

et al. 2010

IJPEC

View full text Add to dashboard Cite

show abstract

“…M. Ahmed, 2005;Xu Dianguo;Zhao Kaiqi;Wang Yi. 2003;Rajaji, L.;Kumar, C. 2008;Ali M. Eltamaly 2008;Bhuvaneswari, G.;Charles, S.;Nair, M.G. 2008 ).…”

Section: Computer Simulationmentioning

confidence: 99%

A Novel Control Of AC Voltage Controller Under Induction Motor Load

Eltamaly

Alolah

Hamouda

et al. 2009

ECMS 2009 Proceedings Edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera

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A novel, simple and reliable digital firing scheme has been implemented for soft starting and speed control of three-phase induction motor using ac voltage controller. The system consists of three-phase supply connected to the three-phase induction motor via three triacs and its control circuit. The ac voltage controller has three modes of operation depending on the shape of supply current. The performance of the induction motor differs in each mode where the speed is directly proportional with firing angle in two modes and inversely in the third one. So, the control system has to detect the current mode of operation to choose the correct order for the firing angle of triacs. Three sensors are used to feed the line currents to control system to detect the mode of operation. The control strategy is implemented using a low cost Xilinx Spartan-3E field programmable gate array (FPGA) device. Three PI-controllers are designed on the FPGA to control the system for the three-modes. Simulation of the system is carried out using PSIM computer program. The simulation results show stable operation for different loading conditions especially in mode 2/3. The simulation results have been compared with the experimental results from laboratory prototype.

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“…Triggering signals for forward thyristor gates and the corresponding reverse one are separated 180 o . The ANFIS neuro-fuzzy system [9] [10] [11] [12] has been used to implement the proposed model. First, it uses the training data set to build the fuzzy system in which, membership functions are adjusted using the backpropagation algorithm, allowing that the system learns with the data that it is modeling.…”

Section: Thyristor Triggeringmentioning

confidence: 99%

Neuro fuzzy soft starter for grid integration with pitch regulated wind turbine system

Rajaji

Kumar

2008

2008 International Conference on Electrical and Computer Engineering

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Wind turbines are playing a vital role in power generation among the renewable energy sources. One of the effective ways of power regulating systems is pitch regulated wind turbine which is used to interface the grid and generator smoothly. In this paper, a novel approach of pitch regulated wind turbine using intelligent soft starter based induction generator is presented. Neuro Fuzzy approach has been used as intelligent tool in soft starter to estimate thyristors firing angle accurately so as to integrate the generator to the grid smoothly. Various wind turbine models such as 600kW and 1000kW are taken for simulation and simulation results have been presented to prove the proposed methodology. Low Voltage Ride Through (LVRT) capability of proposed methodology in 1 MW wind turbine model is also presented in this paper to prove the reliability of proposed method.

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Adaptive Neuro Fuzzy based soft starting of voltage-controlled induction motor drive

Cited by 11 publications

References 13 publications

A novel digital implementation of AC voltage controller for speed control of induction motor

A novel digital implementation of AC voltage controller for speed control of induction motor

A Novel Control Of AC Voltage Controller Under Induction Motor Load

Neuro fuzzy soft starter for grid integration with pitch regulated wind turbine system

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