Neural network modulation for a Direct Torque controlled Induction Motor Drive

Khan, Hadhiq; Hussain, Shoeb; Bazaz, Mohammad Abid

doi:10.1109/scored.2015.7449379

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The electromagnetic torque is proportional to the vector product between the vector of stator and rotor flux according to the following expression [ (18) with: ̅̅̅ : is the vector of stator flux; ̅̅̅̅ : is the vector of rotor flux; δ: is the angle between the vectors of stator and rotor flux.…”

Section: Behavior Of the Torquementioning

confidence: 99%

“…The neural network-based model can take various forms: it can be an artificial neural network (ANN) or a fuzzy neural network etc. [17][18][19], and there is also the possibility of using different typaes of speed tuning signals. It is believed that some of these solutions can give high accuracy and are relatively robust to parameter variations even at extremely low stator frequency.…”

Section: Proposed Ann Speed Controllermentioning

confidence: 99%

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Design and Analysis of the Speed and Torque Control of IM with DTC Based ANN Strategy for Electric Vehicle Application

Araria¹,

Negadi²,

Marignetti³

2019

IJES

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The aim of this paper is the developments a strategy of control of an induction motor (IM) used as a propulsion system of an electric vehicle (EV). The proposed strategy at different operating conditions using a direct torque control (DTC) technique combined with an Artificial Neural Network (ANN) utilizes the stator flux as control variable and the flux level is selected in accordance with torque demand of the EV to achieve a high drive performance. Simulation results on a test vehicle propelled by two 38-kW induction motors showed that the proposed control approach operates satisfactorily. The analysis and simulations lead to the conclusion that the proposed system is feasible and can be tested on experimental bench.

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Section: Behavior Of the Torquementioning

confidence: 99%

Section: Proposed Ann Speed Controllermentioning

confidence: 99%