<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>This paper investigates an optimal model-free control design for a synchronous reluctance motor (Syn-RM) with unknown nonlinear dynamic functions, parameter variations, and disturbances. The idea is to combine a predictive control with a time-delay estimation technique (TDE) in order to successfully deal with the system’s uncertainties and make the Syn-RM control scheme easy to implement in real-time. This model-free control strategy comprises two cascade control loops namely outer and inner loops. The outer loop is designed for the mechanical part of Syn-RM to ensure the convergence of the speed dynamics by using a proportional-integral controller while the inner loop is developed to control the uncertain dynamics of currents via an optimal robust controller. In the proposed current loop, the predictive control is enhanced by the inclusion of ultra-local model theory where dynamic functions and disturbances are estimated by instantaneous input-output measurements of the Syn-RM using the TDE approach. Moreover, a particle swarm optimization (PSO) algorithm is also proposed to find the optimal design parameters to improve the dynamic performances of the closed-loop control system. Numerical validation tests of the proposed TDE-based model-free predictive current control (TDE-MFPCC) method are performed in the simulation environment of the Syn-RM system, and the results show the robustness and the effectiveness of the proposed TDE-MFPCC compared to the conventional model-based PCC.</p>
</abstract>

This paper investigates an optimal model-free control design for a synchronous reluctance motor (Syn-RM) with unknown nonlinear dynamic functions, parameter variations, and disturbances. The idea is to combine a predictive control with a time-delay estimation technique (TDE) in order to successfully deal with the system’s uncertainties and make the Syn-RM control scheme easy to implement in real-time. This model-free control strategy comprises two cascade control loops namely outer and inner loops. The outer loop is designed for the mechanical part of Syn-RM to ensure the convergence of the speed dynamics by using a proportional-integral controller while the inner loop is developed to control the uncertain dynamics of currents via an optimal robust controller. In the proposed current loop, the predictive control is enhanced by the inclusion of ultra-local model theory where dynamic functions and disturbances are estimated by instantaneous input-output measurements of the Syn-RM using the TDE approach. Moreover, a particle swarm optimization (PSO) algorithm is also proposed to find the optimal design parameters to improve the dynamic performances of the closed-loop control system. Numerical validation tests of the proposed TDE-based model-free predictive current control (TDE-MFPCC) method are performed in the simulation environment of the Syn-RM system, and the results show the robustness and the effectiveness of the proposed TDE-MFPCC compared to the conventional model-based PCC.

Model-free predictive current control of Syn-RM based on time delay estimation approach

Laboratoire de Modélisation des Systèmes Énergétiques, LMSE

Department of Electrical Engineering, LI3CUB Laboratory

Department of Electronics, Faculty of Technology

Laboratoire de Génie Energétique et Matériaux, LGEM

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This paper investigates an optimal model-free control design for a synchronous reluctance motor (Syn-RM) with unknown nonlinear dynamic functions, parameter...

Model-free predictive current control of Syn-RM based on time delay estimation approach

Data publikacji: 21 paź 2023

Zakres stron: 344 - 356

Otrzymano: 17 maj 2023

DOI: https://doi.org/10.2478/jee-2023-0042

Słowa kluczowe
synchronous reluctance motor (Syn-RM), model-free control, predictive current control, time-delay estimation

© 2023 Mohamed Essalih Boussouar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Model-free predictive current control of Syn-RM based on time delay estimation approach

Data publikacji: 21 paź 2023

Zakres stron: 344 - 356

Otrzymano: 17 maj 2023

DOI: https://doi.org/10.2478/jee-2023-0042

Słowa kluczowesynchronous reluctance motor (Syn-RM), model-free control, predictive current control, time-delay estimation

© 2023 Mohamed Essalih Boussouar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
synchronous reluctance motor (Syn-RM), model-free control, predictive current control, time-delay estimation