Sensorless induction motor adaptive observer-backstepping controller: experimental robustness tests on low frequencies benchmark

Traore, D.; León, J. De; Glumineau, Alain

doi:10.1049/iet-cta.2009.0648

Cited by 32 publications

(14 citation statements)

References 9 publications

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“…Remark 1 Comparing the proposed nonlinear H-infinity control approach against backstepping nonlinear control for induction motors one should take into account that backstepping control is a special case of flatness-based control and actually it is a global linearizing method [24,30,31]. Thus for the nonlinear backstepping control of induction motors hold the same remarks which have been state in the introduction of the article, in the comparison between global linearizationbased control methods and nonlinear H-infinity control [32].…”

Section: Simulation Testsmentioning

confidence: 76%

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Nonlinear H-infinity Feedback Control for Asynchronous Motors of Electric Trains

et al. 2015

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A new method for feedback control of asynchronous\ud electrical machines is introduced, with application\ud example the problem of the traction system of electric trains.\ud The control method consists of a repetitive solution of an\ud H-infinity control problem for the asynchronous motor, that\ud makes use of a locally linearized model of the motor and\ud takes place at each iteration of the control algorithm. The\ud asynchronous motor’s model is locally linearized round its\ud current operating point through the computation of the associated\ud Jacobian matrices. Using the linearized model of the\ud electrical machine an H-infinity feedback control lawis computed.\ud The known robustness features of H-infinity control\ud enable to compensate for the errors of the approximative\ud linearization, as well as to eliminate the effects of external\ud perturbations. The efficiency of the proposed control scheme\ud is shown analytically and is confirmed through simulation\ud experiments

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Section: Simulation Testsmentioning

confidence: 76%

“…(36) have been selected so as to linearize Eqs. (30) and (32) and to produce first-order linear ODE. The control signal in the inertial coordinates system a − b will be…”

Section: Field Oriented Controlmentioning

confidence: 99%

Nonlinear H-infinity Feedback Control for Asynchronous Motors of Electric Trains

et al. 2015

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“…However due to parameters uncertainties and/or disturbances the backstepping-based controller fails to eliminate steady-state speed error. Then, in order to ensure a better precision, an integral action is now introduced in the backstepping control following the technique used for the induction motor in [16]. Moreover a Maximum-Torque-Per-Ampere strategy is used in order to improve the efficiency of the IPMSM.…”

Section: Robust Mtpa Integral Backstepping Control Of Ipmsmmentioning

confidence: 99%

High order sliding mode observer and optimum integral backstepping control for sensorless IPMSM drive

Hamida

Glumineau

León³

2013

2013 American Control Conference

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This paper presents a robust high order sliding mode observer and an integral backstepping controller for a sensorless interior permanent magnet synchronous motor (IPMSM). In order to limit the chattering phenomenon on the observed state, a super twisting algorithm is combined with an interconnected observer to estimate the speed, the rotor position and the stator resistance. Moreover, a robust nonlinear control based on the backstepping algorithm is designed where an integral action is introduced. This controller allows to track a desired reference which is computed by using a maximumtorque-per-ampere strategy (MTPA). Simulation results are shown to illustrate the performance of the proposed scheme under parametric uncertainties and low speed.

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“…In addition to the adaptive control of the vector control with rotor resistance adaptation, other works have proposed the speed sensorless control [9][10][11][12][13][14]. The elimination of speed sensors has become an inevitable task to guarantee the high performance control and operating reliability, not only because the sensors increase the cost and complexity of machines, but also the measures are stained by the noise that affects the robustness of control, especially in hostile environments.…”

Section: Introductionmentioning

confidence: 99%

Electric Drive Control with Rotor Resistance and Rotor Speed Observers Based on Fuzzy Logic

Regaya

Zaafouri

Châari

2014

Mathematical Problems in Engineering

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Many scientific researchers have proposed the control of the induction motor without speed sensor. These methods have the disadvantage that the variation of the rotor resistance causes an error of estimating the motor speed. Thus, simultaneous estimation of the rotor resistance and the motor speed is required. In this paper, a scheme for estimating simultaneously the rotor resistance and the rotor speed of an induction motor using fuzzy logic has been developed. We present a method which is based on two adaptive observers using fuzzy logic without affecting each other and a simple algorithm in order to facilitate the determination of the optimal values of the controller gains. The control algorithm is proved by the simulation tests. The results analysis shows the characteristic robustness of the two observers of the proposed method even in the case of variation of the rotor resistance.

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Sensorless induction motor adaptive observer-backstepping controller: experimental robustness tests on low frequencies benchmark

Cited by 32 publications

References 9 publications

Nonlinear H-infinity Feedback Control for Asynchronous Motors of Electric Trains

Nonlinear H-infinity Feedback Control for Asynchronous Motors of Electric Trains

High order sliding mode observer and optimum integral backstepping control for sensorless IPMSM drive

Electric Drive Control with Rotor Resistance and Rotor Speed Observers Based on Fuzzy Logic

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