Title :
Robust Input-Output Decoupling Control for Induction Motors with Improved Stator Flux Estimator
Author :
Datta, Manoj ; Rafiq, Md Abdur ; Ghosh, B.C.
Author_Institution :
Dept. of Electr. & Electron. Eng., Khulna Univ. of Eng. & Technol.
Abstract :
A robust input-output decoupling control strategy via non-linear state feedback for stator flux and torque of induction motors (IM) is proposed. To achieve decoupling control, it is shown that the tracking dynamics with respect to the outputs (stator flux amplitude and electrical torque) is asymptotically stable at an admissible operating equilibrium. A real time recurrent learning (RTRL) algorithm based recurrent neural network (RNN) is employed for efficient stator flux measurement. Finally, simulation results are presented to reveal the practicality of the proposed controller
Keywords :
asymptotic stability; induction motors; nonlinear control systems; recurrent neural nets; robust control; state feedback; stators; torque control; asymptotic stability; electrical torque; improved stator flux estimator; induction motors; nonlinear state feedback; recurrent learning algorithm; recurrent neural network; robust input-output decoupling control; stator flux measurement; tracking dynamics; Electric variables measurement; Induction motors; Linear feedback control systems; Recurrent neural networks; Robust control; State feedback; Stators; Tellurium; Torque control; Torque measurement;
Conference_Titel :
Electrical and Computer Engineering, 2006. ICECE '06. International Conference on
Conference_Location :
Dhaka
Print_ISBN :
98432-3814-1
DOI :
10.1109/ICECE.2006.355646
