High Performance Direct Torque Controlled Induction Motor Drive for Adjustable Speed Drive Applications

Babu, B. Chitti; Poongothai, C.

doi:10.1109/icetet.2008.171

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Comparing with development in DTC technology from 2008 to 10, [26][27][28][35][36][37][38][39][40], torque ripples in this scheme were reduced with ANN.…”

Section: Discussionmentioning

confidence: 99%

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Artificial Neural Network Based Direct Torque Control for Variable Speed Wind Turbine Driven Induction Generator

Ananth¹

2011

IJCEE

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Abstract-This paper presents an artificial neural network (ANN) based direct torque control (DTC) scheme to control speed and torque of IG drive over a wide speed range without using PWM controller. With the induction machine stator and rotor flux parameters, speed of IG is predicted by using ANNSP scheme. In wind turbine driven IG set, if wind speed alters, output torque of IG varies, results in variation of output voltage and electric power. In other circumstances, there may be requirement to change the IG speed, which has to be achieved more rapidly. Robust technique to reach the desired states in a stable manner is necessary for such a system. Hence this paper aims to present a technique to control speed and torque with very diminutive time delay compared to preceding techniques. Simulation results shows that the proposed prediction method effectively diminishes the torque and flux ripples under variable speed circumstances. The system is studied using MATLAB/SIMULINK, shows that ANN speed recognition optimization algorithm has better tracking capability and fitness, as well as favorable static and dynamic properties. The outputs of ANN mechanism is compared with that of PI controller and the results demonstrate the influence of ANN is enhanced and fast compared to PI. The system is also verified and proved to be operated stably with very low speed, sudden speed reversals, at low torque and at high torque.Index Terms-DTC, PI, ANN, wind turbine, variable speed induction generator, torque and flux ripples, PWM.

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“…Comparing with development in DTC technology from 2008 to 10, [26][27][28][35][36][37][38][39][40], torque ripples in this scheme were reduced with ANN.…”

Section: Discussionmentioning

confidence: 99%

“…DTC parameters are less sensitive to be tuned and provide high dynamic response of torque and flux, than the classical vector control. The analytical relationship between the applied voltage vector and corresponding torque and flux variations can be derived as in [26].…”

Section: A Dtc's With Ann Torque Control Loopmentioning

confidence: 99%

Artificial Neural Network Based Direct Torque Control for Variable Speed Wind Turbine Driven Induction Generator

Ananth¹

2011

IJCEE

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“…As a result, torque current closed-loop scheme is studied to meet the requirement of the mining traction locomotive control and the power supply. The scheme of torque closed-loop can restrain the pump of the voltage effectively, which is very important for the mining power-supply system [2,4].…”

mentioning

confidence: 99%

Study and Implement on the Control System of Traction Locomotive Based on Torque Current Closed-Loop

Zong

Ruan

Chen

et al. 2011

AMM

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In order to overcome the poor stationarity of traction locomotive during the operation mode switching, with rotor flux oriented vector control theory based on, torque model control strategy is adopted. It can overcome the DC bus pumping as Locomotive deceleration and barking. In this system, output torque can be controlled directly, experiments verify the system has good performance of stability and reliability, which can meet the traction locomotive control requirements.

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A Sector Advanced Technique to improve dynamic response of a Direct Torque Controlled induction motor

Narasimham¹,

Sarma

Kumar³

2010

2010 IEEE International Conference on Power and Energy

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High Performance Direct Torque Controlled Induction Motor Drive for Adjustable Speed Drive Applications

Cited by 4 publications

References 11 publications

Artificial Neural Network Based Direct Torque Control for Variable Speed Wind Turbine Driven Induction Generator

Artificial Neural Network Based Direct Torque Control for Variable Speed Wind Turbine Driven Induction Generator

Study and Implement on the Control System of Traction Locomotive Based on Torque Current Closed-Loop

A Sector Advanced Technique to improve dynamic response of a Direct Torque Controlled induction motor

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