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

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 kn...

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Bibliographic Details
Published in:Electronics and electromechanics 2022-07 (4), p.3-11
Main Authors: Chaabane, H, Khodja, D.E, Chakroune, S, Hadji, D
Format: Article
Language:English
Subjects:
Adaptive control
Analysis
backstepping control
Control systems design
Control theory
Double stars
double stator induction motor
Extended Kalman filter
Induction electric motors
Induction motors
Laws, regulations and rules
Liapunov functions
Matlab
Measuring instruments
model reference
Model reference adaptive control
Principles
Random noise
Robust control
Sensors
Simulation
Speed control
State estimation
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Summary: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.
ISSN:2074-272X
2309-3404
DOI:10.20998/2074-272X.2022.4.01