Analysis and design of rotor MRAS speed sensorless with a novel approach

Benlaloui, I.; Drid, Saïd; Khamari, D.; Chrifi‐Alaoui, Larbi; Marhic, Bruno; Ouriagli, M.

doi:10.1109/sta.2016.7952016

Cited by 11 publications

(4 citation statements)

References 24 publications

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“…As the open loop dynamic of the rotor flux is directly related to the rotor time constant, the multiplication of this dynamic by a factor of two is generally acceptable for the regulation of φ * 2 r to obtain a linear closed loop transfer type (22):…”

Section: Slow Sub Systemmentioning

confidence: 99%

“…It provides a reference to the torque controller. This technique proposed by [22] allows a good performance not only for speed and torque estimation but also for sensorless control [21,22].The measured and estimated stator currents are given by the following equations:…”

Section: Stator Current-based Mras Torque Observermentioning

confidence: 99%

“…The stability of this algorithm is studied by the hyper-stability Popov criterion. For more details the reader can consult [22].…”

Section: Stator Current-based Mras Torque Observermentioning

confidence: 99%

“…In order to get the rotor speed and torque estimation, an MRAS observer algorithm is developed [21][22][23][24]. This later is chosen for its design simplicity and ease implementation.…”

Section: Introductionmentioning

confidence: 99%

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Linear parameter varying sensorless torque control for singularly perturbed induction motor with torque and flux observers

Khamari¹,

Benlaloui²,

Ouchen³

et al. 2020

Electr Eng

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In this paper, a new approach being different from the concept of DTC and IFOC for a robust torque control design for induction motor is addressed. The design is based on the framework of singularly perturbed system theory and linear varying parameter systems. In these systems, the rotor flux is considered to be a time-varying parameter in order to guarantee a robust torque control with LPV flux observer with respect to the speed and resistance variations. In fact, this observer is designed to estimate the rotor flux as well as an MRAS observer is introduced to estimate the mechanical speed and rotor resistance. The main feature of this proposed structure is the enhancement of robustness with flux, speed and rotor resistance variation. This improvement leads to a considerable decrease of the torque ripples and ensures the stability for the entire operating range. The obtained simulations and experimental results are used to validate the effectiveness of the proposed control strategy. Keywords H ∞ LPV controller • Singularly perturbed system • LMI • MRAS observer • Induction motor Abbreviations Rotor speed (rd/s) ω s Stator current frequency (rd/s) ωr Induced rotor current frequency (rd/s) ωc Injected rotor current frequency (rd/s) J In Inertia f Coefficient of viscous C m Maximal electromagnetic torque ∼ Symbol indicating measured valuê Symbol indicating the estimated value B Sabir Ouchen

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Section: Slow Sub Systemmentioning

confidence: 99%

Section: Stator Current-based Mras Torque Observermentioning

confidence: 99%

“…The stability of this algorithm is studied by the hyper-stability Popov criterion. For more details the reader can consult [22].…”

Section: Stator Current-based Mras Torque Observermentioning

confidence: 99%

“…In order to get the rotor speed and torque estimation, an MRAS observer algorithm is developed [21][22][23][24]. This later is chosen for its design simplicity and ease implementation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations