Title: Model free fractional order sliding mode control of permanent magnet synchronous motor

Authors: Ashraf Hagras; Abdelnasser Nafeh

Addresses: Department of Engineering and Scientific Apparatus, Cyclotron Project, Egyptian Atomic Energy Authority (EAEA), Abo Zaabal, Cairo 13759, Egypt ' Department of Electrical Engineering, Faculty of Engineering, University of Benha, Benha 13512, Egypt

Abstract: This paper proposes model free fractional order sliding mode control (MFFOSMC) for permanent magnet synchronous motor (PMSM). This approach proposes new simple switching control law characterised by simplicity of design and flexibility of control to add more flexibility and performance in the controller design. The equivalent control of SMC is based on model free control (MFC) which does not need process model and is free of heavy parameters tuning. The model free control is based on radial basis function (RBF) neural network (NN) which does not require known bounds of uncertainties. The stability of the proposed approach was analysed and guaranteed using Lypunov stability theory. This new method achieved not only the required goals of adaptive control against large variations of parameters, external disturbances and measurement noise but also against higher saliency of the motor. Simulation results using MATLAB/Simulink validated the improved performance of the proposed approach by comparing it with intelligent PI (iPI) controller and conventional PI-based vector control (VC).

Keywords: fractional order SMC; intelligent PI controller; iPI; model free control; MFC; RBF neural network; reaching law.

DOI: 10.1504/IJMIC.2021.122500

International Journal of Modelling, Identification and Control, 2021 Vol.38 No.2, pp.121 - 134

Received: 16 Nov 2020
Accepted: 03 May 2021
Published online: 28 Apr 2022 *

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