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   Non-Linear Adaptive State Feedback Position Control Of An Induction Motor With Unknown Load Torque Incorporating An Adaptive Rotor Flux Estimator Insensitive...   [View] 
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 Author(s)   Mohamed Rashed, Peter Macconnell And Af Stronach 
 Abstract   An adaptive non-linear state feedback position control scheme of a voltage-fed induction motor has been developed in which the control of torque and flux is decoupled. The inputs to the control algorithm are the reference position, the reference flux, the measured stator currents, the measured rotor position, the estimated rotor flux and estimates of the rotor resistance, stator resistance and load torque, which may vary during operation. The controller outputs are the reference stator voltages in rotor flux rotating reference frame. Accurate knowledge of rotor flux and machine parameters is the key factor in obtaining high performance and high efficiency induction motor drive. The rotor flux is estimated using the induction motor rotor circuit model. Although the estimated rotor flux is insensitive to stator resistance variation it does depend on rotor resistance. A stable Model Reference Adaptive System (MRAS) rotor resistance estimator insensitive to stator resistance variation has been designed. Stable load torque, motor speed and stator resistance MRAS estimators have also been developed. These estimators have been developed to constitute a Multi-Input-Multi-Output (MIMO) decoupled cascade structure control system. This simplifies the design problem of the estimators for stable operation from a MIMO design problem to a Single-Input-Single-Output (SISO) design problem. The continuous, adaptive update of the machine parameters and load torque ensures accurate flux estimation and high performance operation. Simulation and experimental results are presented to verify the stability of the induction motor drive in various operating modes. 
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Filename:A71131
Filesize:333.5 KB
 Type   Members Only 
 Date   Last modified 2006-02-17 by System