Wide-Speed-Range Estimation With Online Parameter Identification Schemes of Sensorless Induction Motor Drives

Zaky, Mohamed S.; Khater, Mostafa M. A.; Shokralla, S. S.; Yasin, H.

doi:10.1109/tie.2008.2009519

Cited by 164 publications

(73 citation statements)

References 25 publications

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“…The same trick is adopted for the estimated flux φ rd by adding an offset ε = 0.05W b such as Theorem 2: Consider system (1) where (5) is an associated sliding mode observer which is initialized in D, suppose that Assumption (1-a-b) holds. Under the action of controllers defined in (25) and (27), the tracking errors of speed and flux converge asymptotically to zero.…”

Section: Stability Analysis Of the Closed-loop Systemmentioning

confidence: 99%

“…In [6] the problems of current decoupling control and controller tuning associated with sensorless vector-controlled induction motor drives are studied. Parallel identification schemes for both speed and stator resistance of sensorless induction motor drives are proposed in [25] for a wide range of speed estimation. Nevertheless for most of these contributions, rotor flux information and/or knowledge of load torque (and/or acknowledge load torque considered constant) are needed for controller implementation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On Sensorless Induction Motor Drives: Sliding-Mode Observer and Output Feedback Controller

Ghanes

Zheng

2009

IEEE Trans. Ind. Electron.

112

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Abstract-In this paper, a sensorless output feedback controller is designed in order to drive the Induction Motor (IM) without the use of flux and speed sensors. Firstly, a new sliding mode observer that uses only the measured stator currents is synthesized to estimate the speed, the flux and the load torque. Secondly, a current-based field oriented sliding mode control is developed so as to steer the estimated speed and flux magnitude to the desired references. Stability analysis based on Lyapunov theory is also presented in order to guarantee the closed loop stability of the proposed observer-control system. Two experimental results for a 1.5-kW IM are presented and analyzed by taking into account the unobservability phenomena of the Sensorless Induction Motor (SIM).

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Section: Stability Analysis Of the Closed-loop Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On Sensorless Induction Motor Drives: Sliding-Mode Observer and Output Feedback Controller

Ghanes

Zheng

2009

IEEE Trans. Ind. Electron.

112

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“…Here, Figure 2a demonstrates the proposed BI-EKF-based rotor flux oriented speed-sensorless DVC system, including the field-weakening operation, which provides the speed control of the IM beyond its base speed, n b (1500 rpm in this study). In the field weakening region, due to the voltage margin, the flux reference, | − → φ r | r , has to be inversely decreased by increasing the speed reference, n r m ; therefore, the magnetizing inductance is increased [13,14,26]. In Figure 2a, these relations, shown by a blue line, are mathematically expressed as below: …”

Section: Speed-sensorless Dvc System With Field-weakening Operationmentioning

confidence: 99%

Bi input-extended Kalman filter-based speed-sensorless control of an induction machine~capable of working in the field-weakening region

İnan¹,

Barut²

2014

Turk J Elec Eng & Comp Sci

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This study introduces a novel bi input-extended Kalman filter (BI-EKF)-based speed-sensorless direct vector control (DVC) of an induction motor (IM). The proposed BI-EKF-based estimator includes online estimations of the stator stationary axis components of the stator currents, isα and i sβ ; stator stationary axis components of the rotor flux, φrα and φ rβ ; rotor angular velocity, ωm ; stator resistance, Rs ; rotor resistance, Rr ; and load torque tL , as well as the magnetizing inductance, Lm , by only supposing that the stator phase currents and voltages are measured. Thus, the speed-sensorless DVC of the IM with the inclusion of the proposed estimator is able to be perfectly operated at a wide speed range, varying from zero speed to beyond the rated/based speed under the extreme variations in Rs , Rr , tL , and Lm . The simulations confirm the effectiveness of the proposed BI-EKF-based estimator and, consequently, the speed-sensorless DVC of the IM.

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“…The intrinsic sensitivity to noise measurement of the high gain has been recently investigated using adequate time varying observer gains as well as suitable filtering actions [17][18][19]. The third approach is based on the sliding mode principle which is mainly motivated by a finite time convergence and robustness considerations [20][21][22][23]. It is however worth noticing that the sliding mode systems are commonly implemented using adequate approximations of the sign function altering thereby the finite time convergence.…”

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.

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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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Wide-Speed-Range Estimation With Online Parameter Identification Schemes of Sensorless Induction Motor Drives

Cited by 164 publications

References 25 publications

On Sensorless Induction Motor Drives: Sliding-Mode Observer and Output Feedback Controller

On Sensorless Induction Motor Drives: Sliding-Mode Observer and Output Feedback Controller

Bi input-extended Kalman filter-based speed-sensorless control of an induction machine~capable of working in the field-weakening region

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

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