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Heuristic-Based Positioning of Linear Reluctance Motors Using Simulated Annealing Algorithm

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Abstract:

Due to the nonlinear magnetic characteristics of the Linear Reluctance Motor (LRM), the system exhibits overshoot and oscillatory behavior during operation. To achieve accurate rotor position control, two control strategies are implemented: a conventional Proportional-Integral (PI) controller and a Simulated Annealing (SA) algorithm integrated with a PI controller. The dynamic model of the LRM is simulated using MATLAB Simulink (version 2024a) in the d-q reference frame with real-time rotor position feedback. Three types of reference position trajectories-trapezoidal, linear, and nonlinear-are applied to evaluate the motor’s performance. The simulation results show that the SA-PI controller significantly enhances both position and velocity tracking accuracy compared to various reference position trajectories.

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Periodical:

Applied Mechanics and Materials (Volume 934)

Pages:

33-46

DOI:

https://doi.org/10.4028/p-UKq0aA

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Online since:

February 2026

Authors:

Sarah Hareer*, Diyah Kammel Shary

Keywords:

Linear Reluctance Motor, PI Controller, Position Control, Simulated Annealing Algorithm, Velocity Control

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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