Sensorless fault tolerant control for induction motors

Djeghali, Nadia; Ghanes, Malek; Djennoune, Saïd; Barbot, Jean‐Pierre

doi:10.1007/s12555-012-9224-z

Cited by 28 publications

(21 citation statements)

References 38 publications

(68 reference statements)

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“…As a result, the IM is observable in the rank sense on n R provided that the transformation Ψ is regular almost everywhere. Secondly, the involved nonlinear functions i ϕ for [1,3] i ∈ have been determined using the Jacobian of the transformation Ψ which is given by …”

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%

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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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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.

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“…A separated excited DC load is thus controlled, to impose the same behavior of the mechanical power train to the IMD. Compared with the existing work already reported in the literature [13][14][15][16][17][18][19][20][21], the contributions of this paper are in the following aspects:• The combination of the Backstepping control and the EKF to design a sensorless fault tolerant control scheme for IMD in presence of the faults.• The EKF is used to detect, reconstruct the faults and to estimate the state of an IM model, and for sensorless control.• The exploitation of an observer (EKF) to actively counteract the effect of faults.• The proposed of an architecture emulating the electric vehicle dynamics.• This study is to propose a new control strategy to improve dynamic performance of the traction motor in the EVs.The outline of this paper is as follows. Section 2 defines the control problem and describes the nonlinear system.…”

mentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Backstepping design for fault detection and FTC of an induction motor drives-based EVs

Roubache¹,

Chaouch

Said

2016

Automatika

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Original scientific paperThis paper proposes an improved sensorless fault-tolerant control (FTC) for high-performance induction motor drives (IMD) that propels an electric-vehicle (EV). The design strategy is based on the Backstepping control (BC). However an appropriate combination of the BC and extended kalman filter (EKF) is done, this later is designed in order to detect and reconstruct the faults and also to give a sensorless control. Then, additional control laws, based on the estimates of the faults, are designed in order to compensate the faults. The results show the superiority EKF in nonlinear system as it provides better estimates for faults detection. A classical EV traction system is studied, using an IMD. Indeed, the IMD based powertrain is coupled to DC machine-based load torque emulator taking into account the EV mechanics and aerodynamics. Finally, the effectiveness of the proposed strategy for detection of faults, and FTC of the IMD is illustrated through simulation studies. Key words: Backstepping control (BC), Fault-tolerant control (FTC), Induction motor drives (IMD), Extended kalman filter (EKF), Electric vehicle (EV).Rekurzivna izvedba za uočavanje kvarnih stanja i upravljanje otporno na kvarna stanja električnih vozila zasnovanih na indukcijskim motorima. U ovome radu predložena je unaprije ena bez-senzorska upravljačka strategija otporna na kvarna stanja (FTC) za indukcijski motor visokih performansi koji pokreće električno vozilo (EV). Strategija je temeljena na rekurzivnom upravljanju (BC). Nadalje, izvedena je odgovarajuća kombinacija BC-a i proširenog Kalmanovog filtra (EKF), pričemu je potonji izveden u svrhu uočavanja i rekonstrukcije kvarova te kako bi omogućio bez-senzorsko upravljanje. Kako bi se kompenzirala kvarna stanja, dizajnirani su dodatni upravljački zakoni zasnovani na estimaciji kvarova. Rezultati prikazuju poboljšanje korištenjem EKF-a za nelinearne sustave budući da on omogućava kvalitetnije uočavanje kvarova. Razmatran je klasični pogon EV-a korištenjem IMD-a. Tako er, pogonski sklop zasnovan na IMD-u je povezan s emulatorom momenta zasnovanom na DC motoru, uzimajući u obzir mehaničke i aerodinamičke karakteristike EV-a. Na posljetku je simulacijama ilustrirana efikasnost predložene strategije za uočavanje kvarnih stanja i FTC-a IMD-a.Ključne riječi: Rekurzivno upravljanje (BC), upravljanje otporno na kvarna stanja (FTC), indukcijski motor (IMD), prošireni kalmanov filtar (EKF), električno vozilo (EV). INTRODUCTIONA motor control system with high robustness is an important issue in research. Induction motor drives (IMD) are making significant inroads, because of robustness and rugged structure. They are widely used in industrial applications such as, electric vehicles (EVs), traction locomotives etc. In the last decade, fault tolerance becomes an interesting topic in their controls. The objective is to give solutions that provide fault accommodation to the most frequent faults and thereby reduce the costs of handling the faults. Backstepping control (BC) is a robust...

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“…For these reasons, research on controlling systems with actuator faults is a challenging issue [9]. Therefore, it is an important issue in control system design to study how the controlled system is kept stable, with acceptable performance levels maintained in the presence of faults affecting the system components [10][11][12][13]. It is necessary to design robust control systems that are able to reduce the effect of occurring faults, and to increase the reliability and availability of such systems while providing desirable performances [14].…”

Section: Introductionmentioning

confidence: 99%

An advanced robust fault-tolerant tracking control for a doubly fed induction generator with actuator faults

Abdelmalek¹,

Barazane²,

Larabi³

2017

Turk J Elec Eng & Comp Sci

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Fault-tolerant controller (FTC) designs for doubly fed induction generators (DFIGs) with actuator faults have recently gained considerable attention due to their important role in maintaining the safety and reliability of DFIG-based wind turbines via configured redundancy. The objective of this paper is to propose a novel active fault-tolerant tracking control strategy for a DFIG subject to actuator faults. The proposed strategy consists of first designing a proportional integral observer (PIO) for simultaneous system states and fault estimation and then secondly the FTC, which depends on the estimated states and faults. The objective of such a controller is to drive the state of the system to track a reference state generated by a reference fault-free model (nominal system). In addition, the main results for stability are demonstrated through a quadratic Lyapunov function, formulated in terms of linear matrix inequalities (LMIs) in order to guarantee the stability of the whole closed-loop system and to reduce the actuator fault effects with noise attenuation.Furthermore, the gain matrices of the FTC and the PIO are computed by solving a set of LMIs using the YALMIP toolbox with the SeDuMi solver. Finally, the simulation results under constant and time-varying actuator faults are provided to show the effectiveness of the developed FTC scheme.

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Sensorless fault tolerant control for induction motors

Cited by 28 publications

References 38 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

Backstepping design for fault detection and FTC of an induction motor drives-based EVs

An advanced robust fault-tolerant tracking control for a doubly fed induction generator with actuator faults

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