AUT Journal of Electrical Engineering

AUT Journal of Electrical Engineering

Hybrid RST-Direct Thrust Force Control for Enhanced Performance of Linear Induction Motor

Document Type : Research Article

Authors
Department of Electrical Engineering, Kasdi Merbah Ouargla University, Algeria
10.22060/eej.2026.25020.5820
Abstract
This paper presents a novel control strategy that combines RST-based speed control with Direct Thrust Force Control to improve the operational performance of linear induction motors. This approach specifically targets the optimization of thrust force, magnetic flux, and current control. While traditional PID controllers are commonly used in direct torque control applications for rotary motors, their effectiveness in linear induction motors is limited by sensitivity to parameters and nonlinear effects caused by end-effect phenomena. These limitations frequently result in excessive overshoot, slower rise and settling times, as well as reduced control accuracy and system stability. In response, this study proposes the RST- Direct Thrust Force Control method, which is designed to achieve robust speed regulation and precise control over thrust force and flux under various operating conditions. The performance and accuracy of the proposed approach are evaluated and validated through simulations conducted in the MATLAB/Simulink environment. Moreover, comparative simulation analyses demonstrate that the RST- Direct Thrust Force Control technique significantly reduces overshoot, shortens rise and settling times, and confirming its superiority in maintaining control precision, including excellent reference tracking and disturbance rejection. The findings highlight the RST regulator combined with the Direct Thrust Force Control technique as a robust solution for overcoming the inherent limitations of conventional direct torque control in linear induction motor applications. This integrated control presents a promising approach to optimizing linear induction motor performance and aligns with industry demands for precision and reliability in dynamic environments.
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