Adaptive Regulation of Vector-Controlled Induction Motors

Jadot, F.; Malrait, François; Moreno–Valenzuela, Javier; Sepulchre, Rodolphe

doi:10.1109/tcst.2008.2003434

Cited by 54 publications

(15 citation statements)

References 23 publications

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“…Following the reported stability analysis, see (12), (15) and (17), it follows that system (22)-(23) with  …”

Section: Problem Formulationmentioning

confidence: 82%

“…Computationally, both solutions are quite complex, and, require significant processing capabilities for real-time implementation. A limited number of theoretically and experimentally proven adaptive controllers with identification of a few parameters are available [12]. The complexity reduction, design of adaptive controllers, performance improvements and practical implementation are very important issues.…”

Section: Introductionmentioning

confidence: 99%

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Identification of induction motor parameters adaptively controlling stator currents

Peresada

Kovbasa

Prystupa

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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This paper develops and experimentally substantiates a new algorithms to identify unknown parameters of induction motors during self commissioning procedure. To guarantee asymptotic identification, we design adaptive stator current controller based on stator flux observer. Allowed current references guarantee global exponential identification of three induction motor parameters as well as estimation of the stator fluxes in both motionless and rotating rotor operation. Overestimation of the stator fluxes is used to achieve global stability. Additionally, a simplified version of an adaptive current controller without overestimation is presented. It guarantees local asymptotic stator current tracking, parameters identification and flux estimation. Performed experiments demonstrate that the proposed schemes guarantee identification and estimation accuracy with fast asymptotic convergence of errors to zero. Our procedure supplement the existing industrial control schemes, and, consistent with vector controls including sensorless algorithms.

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“…Following the reported stability analysis, see (12), (15) and (17), it follows that system (22)-(23) with  …”

Section: Problem Formulationmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Identification of induction motor parameters adaptively controlling stator currents

Peresada

Kovbasa

Prystupa

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

View full text Add to dashboard Cite

show abstract

“…A numerous of researches have been performed for modeling and linear or nonlinear control features, such as adaptive control [4], exact linearization technique [5], selftuning methods or sliding mode control [6], or fuzzy logic based-control [7], have been widely studied for nonlinear power electronic applications. For modern control system, the flatness theory was announced by Fliess et al [8] in 1995.…”

Section: Introductionmentioning

confidence: 99%

Power flow management in WT/FC/SC hybrid system using flatness based control

Tégani

Aboubou

Ayad³

et al. 2014

3rd International Symposium on Environmental Friendly Energies and Applications (EFEA)

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This paper presents a control principle for a hybrid wind turbine-Fuel cell and supercapacitor system. Several techniques of control necessitate a linear mathematical model in order to get an inverse dynamic solution. However, in more complex systems the linearization is not sufficient to solve the problem. Therefore, a flatness control has been used in this study, which permits the entire description of the state's trajectories, and so to improve the dynamic response of those systems. A design for a renewable-energy hybrid power plant that is fed by a wind turbine and fuel cell with a supercapacitor as auxiliary power source has been presented in this study. The system is suitable for stand-alone generation applications or grid connected. Also this paper introduces the results of the energy management simulation using the technique of planning.

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“…With technology advances and modern control systems complexity increasing, rotating electrical machines play important roles in many fields especially in industrial processes because of their rigid, rugged, low price, reliable relative simplicity, and easy to maintain behaviors [1,2]. However, the reliable electric drives are essential in all safety critical applications such as aerospace, transportation, medical, and military applications.…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Fault-Tolerant Tracking Control of Three-Phase Induction Motor

Tohidi

Erenturk

2014

Advances in Electrical Engineering

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This paper deals with the problem of induction motor tracking control against actuator faults and external disturbances using the linear matrix inequalities (LMIs) method and the adaptive method. A direct adaptive fault-tolerant tracking controller design method is developed based on Lyapunov stability theory and a constructive algorithm based on linear matrix inequalities for online tuning of adaptive and state feedback gains to stabilize the closed-loop system in order to reduce the fault effect with disturbance attenuation. Simulation results reveal the merits of proposed robust adaptive fault-tolerant tracking control scheme on an induction motor subjected to actuator faults.

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Adaptive Regulation of Vector-Controlled Induction Motors

Cited by 54 publications

References 23 publications

Identification of induction motor parameters adaptively controlling stator currents

Identification of induction motor parameters adaptively controlling stator currents

Power flow management in WT/FC/SC hybrid system using flatness based control

Robust Adaptive Fault-Tolerant Tracking Control of Three-Phase Induction Motor

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