Vidia Laksmi B. Nur, Muhammad Syahril Mubarok, Widi Aribowo, Didik Purwanto, Jacob Raglend Isaac, Vugar Hacimahmud Abdullayev
This paper proposes a speed control strategy of Synchronous Reluctance Motors (SynRM) using an Indirect Matrix Converter (IMC) combined with a finite model predictive speed control (MPSC) and PI current control. This control algoritm is chosen than fully PI in both loops due to improve overall system stability and dynamic response. The IMC architecture offers advantages such as compactness, bidirectional power flow, and the elimination of bulky passive components, making it ideal for efficient motor drive systems. The proposed control method employs predictive algorithm using augmented state variable and cost function minimization technique. In addition, PI controllers here using a pole-assignment method. Both proposed controls aim to guarantee stability and responsiveness for dynamic performances. The MATLAB/Simulink is used here to simulate the system, incorporating practical motor parameters and space vector modulation techniques. Simulation results show that the control algorithm attains satisfactory speed performance, with minimal steady-state error 0.47%, overshoot below 2%, and fast settling time under various load 0.035 seconds and speed profiles. Additionally, the system performs robustly under reversed and sinusoidal speed commands, demonstrating its effectiveness and suitability for real-world industrial applications also need to implement in the experiment for the future works. © 2026, Universitas Ahmad Dahlan. All rights reserved.
Faculty of Vocational Studies, Universitas Negeri Surabaya, Indonesia; Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga, Indonesia; Delta Research Center, Delta Electronics Inc, Taiwan; School of Electrical Engineering, Vellore Institute of Technology, Vellore, India; Department of Computer Engineering, Azerbaijan State Oil and Industry University, Baku, Azerbaijan; Renewable & Sustainable Energy Technology Research Group, Universitas Airlangga, Indonesia; Research Center for New and Renewable Energy Engineering, Universitas Airlangga, Indonesia
