Signed-Distance Fuzzy Logic Controller Adaptation Mechanism based MRAS Observer for Direct-Drive PMSG Wind Turbines Sensorless Control

• Main Authors: Soufyane, Benzaouia, Abdelhamid, Rabhi, Smail, Zouggar
• Format: Conference Proceeding
• Language: English
• Subjects: Adaptation models; Fuzzy logic; Fuzzy Logic Controller; Mathematical model; MPPT; MRAS Observer; Observers; PMSG; Sensorless control; Torque; Wind Turbine
• ISSN: 2378-5861
• DOI: 10.23919/ACC45564.2020.9147811

In this paper, a signed-distance fuzzy logic controller (SDFLC) adaptation mechanism is proposed to improve the permanent-magnet synchronous generator (PMSG) speed estimation performance of a model reference adaptive speed (MRAS) observer. In the conventional MRAS observer, a constant gain PI controller is used to drive the output error vector between the reference and the adaptive model to zero. One of the improvement noted in literature is the two-input fuzzy logic controller (FLC), this latter have greatly improved the speed estimation performance of the MRAS observer. The major drawback of the two-input fuzzy logic controller is the high fuzzy rules number, the thing that increase significantly the tuning and the control complexity. In the proposed adaptation mechanism, the two-input FLC are converted into single input named signed distance. This variable contains knowledge of all process state variables of the conventional FLC, and instead of creating and designing the fuzzy rules using a two-dimensional space of the phase plane, the new fuzzy rules will be designed only in one-dimensional rule table, this method allows greatly reducing the number of fuzzy rules and easily tuning the controller. A detailed comparison between the PI, FLC and SDFLC MRAS observer in open loop mode has been performed under step wind speed variation. As a second test, the MRAS observer based on SDFLC adaptation mechanism has been used in a vector super-twisting algorithm (STA) control strategy for a direct-drive PMSG wind turbines.