On-line iron loss resistance identification by a state observer for rotor-flux-oriented control of induction motor

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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Based on Multi-Estimator Technology to Control Speed of Induction Motor

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.577.329 ◽

2014 ◽

Vol 577 ◽

pp. 329-333

Author(s):

Su Mei Feng ◽

Zhi Ping Yan ◽

Xue Mei Wu

Keyword(s):

Induction Motor ◽

Control Function ◽

Control Process ◽

Motor Speed ◽

Speed Sensor ◽

Control Scheme ◽

Self Tuning ◽

Rotor Flux ◽

On Line ◽

And Control

In order to improve the reliability of the control system, and to reduce the uncertainty of control process, this paper presents an excellent algorithm to control the induction motor speed using series estimator technology. The physical speed sensor is not used to detect speed of the motor, while applying the vector analysis method, through the stator current and the rotor flux are calculated to estimate motor speed. Corresponding to sensorless control drawbacks, the self-tuning control scheme is proposed through control scheme reformed. The double estimator technology is applied to reform scheme, the first order estimator is used to identify the system parameters, the second order estimator is used to calculate the parameters of the controller on-line, and control function is given real-time to control the speed of the motor, the simulation results show that the given control technology is advanced.

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A novel on-line MRAS scheme of rotor resistance identification using rotor flux in synchronous reference frame for induction motor

2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia) ◽

10.1109/icpe.2015.7168031 ◽

2015 ◽

Cited By ~ 1

Author(s):

Seung-Myung Lee ◽

Shin-Won Kang ◽

Rae-Young Kim

Keyword(s):

Induction Motor ◽

Reference Frame ◽

Rotor Resistance ◽

Synchronous Reference Frame ◽

Rotor Flux ◽

On Line

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Flux and Speed Estimation Based on the Extended State Observer for Speed Sensorless Control of Indirect Field Oriented Induction Motor Drives

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.273.414 ◽

2013 ◽

Vol 273 ◽

pp. 414-418

Author(s):

Wen Xiang Wei ◽

Xiao Ping Zhang

Keyword(s):

Induction Motor ◽

State Observer ◽

Motor Drives ◽

Extended State Observer ◽

Extended State ◽

Induction Motor Drives ◽

Current Estimate ◽

Speed Sensorless ◽

Rotor Resistance ◽

Rotor Flux

A flux observer based on the extended state observer (ESO) is proposed for rotor flux estimation and speed identification of indirect field oriented induction motor drives system. The uncertain component including rotor resistance and speed in the stator current equation is extended to a new state, the ESO is then constructed. By the current estimate error, the uncertain component convergences to its actual value and the accurate rotor flux, speed and the rotor time constant are obtained. The accuracy of the ESO independent the rotor resistance and load torque variations, simulations under high and low speed show that the proposed method achieves prefect robust, and the validity and practicability is verified by simulation results.

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