Robust Rotor Flux and Speed Control of Induction Motors Using On-Line Time-Varying Rotor Resistance Adaptation

2006 ◽  
Author(s):  
G. Kenne ◽  
T. Ahmed-Ali ◽  
H. Nkwawo ◽  
F. Lamnabhi-Lagarrigue
Keyword(s):  
Induction Motors ◽  
Speed Control ◽  
Time Varying ◽  
Rotor Resistance ◽  
Rotor Flux ◽  
On Line

scholarly journals Rotor flux oriented control of induction machine based drives with compensation for the variation of all machine parameters

2013 ◽  
Vol 61 (2) ◽  
pp. 309-324 ◽  
Author(s):  
G. Extremiana ◽  
G. Abad ◽  
J. Arza ◽  
J. Chivite-Zabalza ◽  
I. Torre
Keyword(s):  
Dynamic Performance ◽  
Estimation Algorithm ◽  
Model Parameters ◽  
Electrical Machine ◽  
Saturation Curve ◽  
Machine Model ◽  
Rotor Resistance ◽  
Iron Losses ◽  
Rotor Flux ◽  
On Line

Abstract The performance of rotor flux oriented induction motor drives, widely used these days, relies on the accurate knowledge of key machine parameters. In most industrial drives, the rotor resistance, subject to temperature variations, is estimated on-line due to its significant influence on the control behaviour. However, the rest of the model parameters are also subject to slow variations, determined mainly by the operating point of the machine, compromising the dynamic performance and the accuracy of the torque estimation. This paper presents an improved rotor-resistance on-line estimation algorithm that contemplates the iron losses of the electrical machine, the iron saturation curve and the mechanical losses. In addition, the control also compensates the rest of the key machine parameters such as the leakage and magnetizing inductances and the iron losses. These parameters are measured by an off-line estimation procedure and stored in look up-tables used by the control. The paper begins by presenting the machine model and the proposed rotor flux oriented control strategy. Subsequently, the off-line parameter measurement procedure is described. Finally, the algorithm is extensively evaluated and validated experimentally on a 15 kW test bench

PASSIVITY-BASED PARAMETER ESTIMATION AND COMPOSITE ADAPTIVE POSITION CONTROL OF INDUCTION MOTORS

2013 ◽  
Vol 37 (3) ◽  
pp. 559-569
Author(s):  
Jenn-Yih Chen
Keyword(s):  
Position Control ◽  
Induction Motors ◽  
Feedback Connection ◽  
Load Torque ◽  
Flux Observer ◽  
Estimated Parameters ◽  
Rotor Resistance ◽  
Position Controller ◽  
Rotor Flux ◽  
Globally Stable

In the rotor reference frame, the input-output linearization theory was adopted to decouple the rotor position and rotor flux. We then designed two adaptation laws to estimate the rotor resistance and mechanical parameters of the motor. The passive properties of the negative feedback connection from the rotor flux observer to the rotor resistance estimator, and the position controller were analyzed according to the passivity theorem. The overall control system was proved to be globally stable. Finally, experimental results show that the proposed scheme is robust to the variations of the rotor resistance and load torque disturbances. Furthermore, the estimated parameters can converge to the actual values.

Adaptive Parameter Estimation and Position Control of Induction Motors Based on Passivity Theorem

2009 ◽  
Vol 626-627 ◽  
pp. 489-494
Author(s):  
Jenn Yih Chen ◽  
Bean Yin Lee
Keyword(s):  
Position Control ◽  
Induction Motors ◽  
Current Model ◽  
Gradient Algorithm ◽  
Loop Current ◽  
Feedback Connection ◽  
Load Torque ◽  
Flux Observer ◽  
Rotor Resistance ◽  
Rotor Flux

This paper presents the passivity-based rotor resistance and mechanical paramters estimation, and the position control for induction motors. Firstly, the input-output linearization theory is employed to decouple the rotor flux amplitude and the rotor position at the transient state. An open-loop current model flux observer then estimates the rotor flux. Furthermore, we adopted the gradient algorithm to design adaptive laws to estimate the rotor resistance, moment of inertia, viscous coefficient, and load torque. The passive properties of the feedback connection of the rotor flux observer to the rotor resistance estimator, and the position controller are analyzed by the passivity theorem. According to the properties, the overall control system is proved to be globally stable without using Lyapunov-type arguments. Finally, experimental results are provided to show that the proposed method is robust to variations of the mechanical parameters and load torque disturbances. Moreover, good position tracking response and parameters estimating characteristic can be obtained.

scholarly journals Robust linear parameter varying induction motor control with polytopic models

2013 ◽  
Vol 10 (2) ◽  
pp. 335-348 ◽  
Author(s):  
Khamari Dalila ◽  
Makouf Abdessalem ◽  
Drid Said ◽  
Larbi Chrifi-Alaoui
Keyword(s):  
Induction Motor ◽  
Feedback Controller ◽  
Linear Matrix ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Flux Observer ◽  
Rotor Resistance ◽  
Rotor Flux ◽  
On Line ◽  
Parameter Varying

This paper deals with a robust controller for an induction motor which is represented as a linear parameter varying systems. To do so linear matrix inequality (LMI) based approach and robust Lyapunov feedback controller are associated. This new approach is related to the fact that the synthesis of a linear parameter varying (LPV) feedback controller for the inner loop take into account rotor resistance and mechanical speed as varying parameter. An LPV flux observer is also synthesized to estimate rotor flux providing reference to cited above regulator. The induction motor is described as a polytopic model because of speed and rotor resistance affine dependence their values can be estimated on line during systems operations. The simulation results are presented to confirm the effectiveness of the proposed approach where robustness stability and high performances have been achieved over the entire operating range of the induction motor.

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