Backstepping Control of Dual Stator Induction Generator used in Wind Energy Conversion System

Benakcha, Meryem

doi:10.20508/ijrer.v8i1.7025.g7313

Cited by 4 publications

(3 citation statements)

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“…Backstepping control of the DSIM. The backstepping control technique provides a systematic method for designing a controller for nonlinear systems [6,7]. The idea is to compute a control law in order to guarantee, for a certain positive definite (Lyapunov) function, an always negative derivative.…”

Section: Fig 2 Diagram Of Mras Based On Lyapunov Theory For Dsimmentioning

confidence: 99%

“…The calculation of the Lyapunov function is then performed recursively from inside of the loop. The objective of this technique is to calculate, at each stage of the process, a virtual control is thus generated to ensure the convergence of the system towards its equilibrium state [7,12]. This can be achieved from the functions of Lyapunov which ensure step by step the stabilization of each synthesis step.…”

Section: Fig 2 Diagram Of Mras Based On Lyapunov Theory For Dsimmentioning

confidence: 99%

“…The situation changes with the appearance of the theory of non-linear systems in control theory where the researchers are interested in new control as backstepping control method allow for approaching large systems with a systematic approach, which was introduced during the 1990s by several researchers, Kokotovic is quoted [4]. The application of the latter is found, for example, in the field of aeronautics in [4], and in the field of robotics in [5], and electrical machines [6], and also for power network power regulation in [7].…”

Section: Introductionmentioning

confidence: 99%

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Model reference adaptive backstepping control of double star induction machine with extended Kalman sensorless control

Chaabane

Khodja²,

Chakroune

et al. 2022

Electrical Engineering & Electromechanics

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Introduction. Newly, the design of a controller for speed control of double star induction motor as a research focus. Consequently, backstepping technique is used to recursively construct a stable control law for speed and flux. Nevertheless, this control law coming from backstepping requires the knowledge of speed and flux values; in practice the measurement sensors are expensive and fragile. The novelty of this work consists to propose a control strategy which based on accurate Kalman filter observer that estimates speed, flux and torque. This extended Kalman filter is an optimal state estimator and is usually applied to a dynamic system that involves a random noise environment. Purpose. Apply a backstepping control of double star induction motor based on principle of rotor flux orientation. This approach consists in finding a Lyapunov function that allows deducing a control law and a modified adaptation rule is referred and sufficient conditions for the stability of the command-observer, in contrast to other techniques who use nonlinear principle. Results. The simulation results are shown to illustrate the performance of the proposed scheme under parametric uncertainties by simulation on MATLAB. The obtained results showed the robustness of the sensorless control in front of load and parameters variation of double stator induction motor. The research directions of the model were determined for the subsequent implementation of results with simulation samples.

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Section: Fig 2 Diagram Of Mras Based On Lyapunov Theory For Dsimmentioning

confidence: 99%

Section: Fig 2 Diagram Of Mras Based On Lyapunov Theory For Dsimmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model reference adaptive backstepping control of double star induction machine with extended Kalman sensorless control

Chaabane

Khodja²,

Chakroune

et al. 2022

Electrical Engineering & Electromechanics

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Active-Flux-Based Super-Twisting Sliding Mode Observer for Sensorless Vector Control of Synchronous Reluctance Motor Drives

Liu

Laghrouche

NrDiaye

et al. 2018

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

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Backstepping Approach Based on Direct Power Control of a DFIG in WECS

Mazouz

Belkacem

Boukhalfa

et al. 2021

2021 10th International Conference on Renewable Energy Research and Application (ICRERA)

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The work presented in this paper aims to highlight new solutions that improve the performance and reliability of wind turbine systems based on a DFIG. Direct power control using hysteresis regulators in power control laws has many disadvantages, for example, variable frequency and ripple in control variable. To overcome these problems, the trend of current research has been carried out in the field of controls of robust nonlinear systems which give acceptable results in large operating domains. We present backstepping using SVM. A comparative study based on the simulation results is presented, thus making it possible to judge the robustness of the control in each case and for the different operating regimes of the DFIG; these results reflect the good performance of this method and which can be improved the system performance.

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Backstepping Control of Dual Stator Induction Generator used in Wind Energy Conversion System

Cited by 4 publications

References 0 publications

Model reference adaptive backstepping control of double star induction machine with extended Kalman sensorless control

Model reference adaptive backstepping control of double star induction machine with extended Kalman sensorless control

Active-Flux-Based Super-Twisting Sliding Mode Observer for Sensorless Vector Control of Synchronous Reluctance Motor Drives

Backstepping Approach Based on Direct Power Control of a DFIG in WECS

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