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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE)
Azeddine Kaddouri
University of Moncton
Control & Systems Engineering Electrical & Electronics Engineering

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NARMAX approach for micro positioning stage piezoelectric actuator hysteresis identification Ounissi Amor; Azeddine Kaddouri; Rachid Abdessemed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i2.pp827-832

Abstract

The structure of the model may either be inferred via an experimental study or just by looking at the input and output data. A novel nonlinear autoregressive with exogenous inputs (NARMAX) method for identifying PEA piezoelectric positioning mechanisms is put forward in this study. The developed model enables accurate prediction of the hysteresis of the PEAs. The accuracy of the model built from the input and output data will be assessed by comparison with a LuGre model. The results of the identification show that the recommended approach is successful and that it has a high degree of identification precision within an absolute error range of one micron. The findings demonstrated the potential of the suggested method for classifying nonlinear PEAs.
Synergetic control of micro positioning stage piezoelectric actuator Amor Ounissi; Azeddine Kaddouri; Rachid Abdessemed
International Journal of Applied Power Engineering (IJAPE) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (974.076 KB) | DOI: 10.11591/ijape.v11.i4.pp264-270

Abstract

The work carried out in this article essentially relates to the application of a synergetic control to the piezoelectric positioning mechanism or piezoelectric actuator (PEA). A LuGre model has been followed, capturing the most physical phenomena, in order to be able to follow the most realistic and representative model possible. From this model, which is then identified by particle swarm optimization (PSO), we apply the synergetic control technique, which is a very efficient control method that allows demonstrating the good functioning of the stability of nonlinear system in closed loop. The simulation results have been compared to those obtained when using sliding mode to confer the best performance in terms of tracking error and minimization of oscillations.
Co-Authors Amor Ounissi Ounissi Amor Rachid Abdessemed Rachid Abdessemed