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4 Archives of Control Sciences

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Improved direct torque control of induction motors using adaptive observer and sliding mode control

100%

Kouchih D. , Tadjine M. , Boucherit M. S.

tom Vol. 23, no. 3

361--376

This paper presents the synthesis of an adaptive observer which is used for the improvement of the direct torque control of induction motor drives. The observer detects stator flux components in two-phase stationary reference frame, rotor speed and stator resistance by measure of the stator terminal voltages and currents. The observer is adapted using a simple algorithm which does not imply a high computational load. Stability analysis based on Lyapunov theory is performed in order to guarantee the closed loop stability. Simulation tests under load disturbance and stator resistance variation are provided to evaluate the consistency and performance of the proposed control technique in the low and high speeds.

Analytical and neuro-fuzzy modeling for fault detection and identification for nonlinear systems: application to robot manipulator

100%

Lazeregue M. S. , Salhi H. , Tadjine M.

2009

tom Vol. 19, no. 3

325-350

This work deals with modeling and fault detection and identification for robot manipulator. We have used for a dynamical system a hybrid approach. The model is decomposed into two parts: first, a certain part modeled using classical analytical theory and it is preferable to be linear. Second, an uncertain part representing the nonlinearities neglected in the first part, which is modeled using neuro-fuzzy modeling. Both analytical redundancy and neuro-fuzzy modeling are used to improve robustness. The analytical redundancy is used to generate residuals for the fault detection and location procedure. The neuro-fuzzy modeling is used to model modeling errors and faults, which allows performing the robustness and the sensitivity. Thanks to neuro-fuzzy modeling the errors of modeling are compensated and the faults are well identified as it is shown through the results of simulation.

On hybrid observability and sliding mode observer in three cells converter

88%

Mezhoud A. , Maradi S. , Benmansour K. , Djemai M. , Tadjine M.

2009

tom Vol. 19, no. 2

179-204

Power converters by their nature present hybrid behavior since they contains switched circuits. Such circuits can be described by a set of discrete states with associated continuous dynamics. In this paper a new hybrid model for a 3-cells power converter is proposed. This hybrid model incorporates both the continuous and discrete states allowing better understanding of the system operating modes and properties. Of particular interests the new concept of hybrid Z(TN) observability is used to deal with the observability of the capacitors voltages and a discussion on the achievable observation dynamics is given. A sliding mode observer strategy is derived to estimate the flying voltages of the converter. Furthermore, it is derived that under some specific control sequence, the observation errors are asymptotically stable. Finally, experimental results are presented in order to illustrate the performance of the proposed approach.

Robust nonlinear PI for attitude stabilization of a four-rotor mini-aircraft: From theory to experiment

88%

Bouchoucha M. , Tadjine M. , Tayebi A. , Mullhaupt P. , Bouabdallah S.

tom Vol. 18, no. 1

99-120

Based on the Euler angles parametrization, a new method for the attitude control of a vertical take-off and landing (VTOL) quadrotor aircraft is proposed. It relies on the combination of the backstepping technique and a nonlinear robust PI controller. The integral action gain is nonlinear and based on a switching function that allows a robust behavior for the overall control law. One of the strengths of the proposed approach is its robustness with respect to plant parameters uncertainties. The proposed approach has been tested in simulation and in real time and shows good performance.