A robust sensorless output feedback controller of the induction motor drives: new design and experimental validation

Ghanes, Malek; Barbot, Jean‐Pierre; León, J. De; Glumineau, Alain

doi:10.1080/00207170903193474

Cited by 42 publications

(29 citation statements)

References 19 publications

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“…Two remarks are crucial to this end. Firstly, the Jacobian of the transformation Ψ given by (9) can be decomposed as follows 2 2 , 4…”

Section: Observability Analysis Of the Induction Motormentioning

confidence: 99%

“…Many challenging observation and control problems have been investigated to this end thanks to high gain, sliding mode, backstepping and adaptive control principles. This leads to various fundamental contributions with successful experimental evaluations on the observability and observer design, the observer based fault tolerant detection and the high performance control system design with and without parameter adaptation [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

High gain adaptive observer design for sensorless state and parameter estimation of induction motors

Maouche

M’Saad

Bensaker

et al. 2015

Int. J. Control Autom. Syst.

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This paper addresses the problem of accurately estimating the mechanical and magnetic state variables as well as the stator and rotor resistances of induction motors using only the stator current measurements and the supplied stator voltages from an appropriate nonlinear parametrization. The involved estimation is carried out by a high gain adaptive observer designed bearing in mind the available fundamental results together with the useful implementation features, namely conception simplicity and computational efficiency. An exponential convergence of the state and parameter estimation errors is established under admissible assumptions, namely the persistent excitation requirement has been particularly reduced thanks to the introduction of unknown parameter characteristic indices. The effectiveness of the adaptive observer is highlighted throughout simulation results involving a typical induction motor.

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“…Two remarks are crucial to this end. Firstly, the Jacobian of the transformation Ψ given by (9) can be decomposed as follows 2 2 , 4…”

Section: Observability Analysis Of the Induction Motormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High gain adaptive observer design for sensorless state and parameter estimation of induction motors

Maouche

M’Saad

Bensaker

et al. 2015

Int. J. Control Autom. Syst.

View full text Add to dashboard Cite

show abstract

“…In fact, the observer incorporation idea, with various approaches, has been shown as a promising solution for online recovering states and critical parameters (Ebrahim and Murphy, 2008). Following the successes of the adaptive interconnected observer (AIO) (Traoré et al, 2008;Ghanes and De Leon, 2008;Ghanes and Barbot, 2010), it is selected in this work to estimate the unavailable variables. So, benefiting only from two inputs (the stator voltages) and two measured outputs (the stator currents), it is possible to recover simultaneously the speed, flux, both the rotor and stator resistances, and also the load torque.…”

Section: Introductionmentioning

confidence: 99%

“…The basic routine of the observer design algorithm (Ghanes and Barbot, 2010) consists of checking some extra assumptions:…”

mentioning

confidence: 99%

Adaptive interconnected observer-based sensorless non-linear generalised predictive control for IMs with parameters tuning

Chehimi

Said

M’Śahli

2013

IJAAC

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The combination of the non-linear generalised predictive control (NGPC) and the adaptive interconnected observer (AIO) is considered for the design of the output feedback predictive controller. Since the induction motors (IMs) are intensively used in applications requiring high dynamic performance, the algorithm developed is potentially useful for a fully decoupling in speed and flux magnitude regulation. Indeed, in a first step the state-feedback controller is given, which stems from the approximation of the output tracking error in the receding horizon by its Taylor-series expansion is given. In a second step, the AIO property is exploited in order to avoid the problem of parameters uncertainly and state unavailability during the drive motor, with realising a suitable tracking of trajectories for the system output. This results in a sensorless control of the induction motors, whose rotor and stator resistances, the load torque, the rotor flux and mechanical speed are simultaneously recovered by profiting only from the measurements of the stator current. Effectiveness of the proposed observers and the performance of the controller are confirmed by simulation results.

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“…Numerous observer strategies are developed to estimate the states and the parameters of PMSM, such as adaptive observer [1], [2], sliding mode observer [3], [4], [5], [6] and Extended Kalman filter [7], [8], [9], [10]. Recently in [11], [12] an adaptive interconnected observer has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear observer for the PM synchronous motor

Tami

Boutat

Zheng

2014

2014 American Control Conference

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Abstract-This paper deals with nonlinear states and parameters estimation of a permanent magnet synchronous motor (PMSM) without mechanical sensors. In the proposed method, a change of coordinates is established in order to transform the PMSM system into an observer form which enables us to apply an adaptive or a high gain observer. Then the load torque, rotor speed and some parameters can be estimated from both measurable currents and voltages. The efficiency of the proposed methods is illustrated by the simulation results.

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A robust sensorless output feedback controller of the induction motor drives: new design and experimental validation

Cited by 42 publications

References 19 publications

High gain adaptive observer design for sensorless state and parameter estimation of induction motors

High gain adaptive observer design for sensorless state and parameter estimation of induction motors

Adaptive interconnected observer-based sensorless non-linear generalised predictive control for IMs with parameters tuning

Nonlinear observer for the PM synchronous motor

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