Published June 30, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

A Novel PSO-Gain Super-Twisting Integral Sliding Mode Controller for Sensor-Less Speed Control of Saturated DFIM

Authors/Creators

  • 1. Department of Physics, Faculty of Sciences, University of Dschang, Cameroon.

Contributors

Contact person:

  • 1. Department of Physics, Faculty of Sciences, University of Dschang, Cameroon.
  • 2. Department of Physics, University of Dschang, IUT Fotso Victor, Bandjoun, Cameroon.

Description

Abstract: This work deals with the performance and optimisation of the speed control of a doubly fed asynchronous machine (DFIM), modelled considering the magnetic circuit's saturation. The speed control strategy of the machine, thus implemented, is a super twisting algorithm with integral action, consisting of five regulators: four for stator and rotor currents, and one for speed regulation. The control was achieved without a mechanical sensor, thanks to an observer that reconstructs the machine's rotation speed from the readings of the currents and voltages it absorbs. The coefficients of the regulators and those of the observer were determined by the Particle Swarm Optimisation (PSO) methods. Thus, the system's efficiency was tested and validated across several speed ranges, including very low speeds, low speeds, and high speeds, using the MATLAB/Simulink simulation software. The control system's performance was demonstrated by varying the set speed according to a predefined profile. The resistive torque and the rotor and stator resistances values were modified by up to 50% to demonstrate the insensitivity to disturbances or variations in the machine parameters.

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Additional details

Identifiers

DOI
10.35940/ijitee.F1095.14070625
EISSN
2278-3075

Dates

Accepted
2025-06-15
Manuscript received on 18 April 2025 | First Revised Manuscript received on 25 April 2025 | Second Revised Manuscript received on 17 May 2025 | Manuscript Accepted on 15 June 2025 | Manuscript published on 30 June 2025.

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