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