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Buletin Ilmiah Sarjana Teknik ElektroBuletin Ilmiah Sarjana Teknik Elektro

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 algorithm is chosen rather 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.

The proposed drive system demonstrates effective control of the SynRM using an indirect matrix converter, achieving fast settling times of less than 0.06 seconds, stable performance across a wide speed range, and a small average speed tracking error of approximately 11.The control strategy effectively manages dynamic performance, including acceleration, speed reversal, and sinusoidal speed commands.These findings validate the proposed MPSC–PI control algorithm as a reliable and high-performance solution for SynRM drive systems.

Future research should focus on experimental validation of the proposed control strategy to confirm its performance in a real-world setting and address potential discrepancies between simulation and practical implementation. Investigating adaptive control techniques that can automatically tune the MPSC parameters based on varying load conditions and motor characteristics could further enhance the systems robustness and performance. Exploring the integration of advanced fault diagnosis and fault-tolerant control strategies would improve the reliability and safety of the drive system, particularly in critical industrial applications. Furthermore, extending the research to include the optimization of the matrix converters switching patterns to minimize harmonic distortion and improve power quality would be beneficial. Finally, a comprehensive analysis of the systems energy efficiency and potential for energy savings compared to traditional drive systems should be conducted to quantify its environmental benefits and economic viability.

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