Adaptive Speed Controller for a Permanent Magnet Synchronous Motor | Zendy

Omar Aguilar-Mejía | Zendy; Rubén Tapia-Olvera | Zendy; Iván Rivas-Cambero | Zendy; Hertwin Minor-Popocatl | Zendy

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Adaptive Speed Controller for a Permanent Magnet Synchronous Motor

Author(s) -

Omar Aguilar-Mejía,

Rubén Tapia-Olvera,

Iván Rivas-Cambero,

Hertwin Minor-Popocatl

Publication year - 2019

Publication title -

nova scientia

Language(s) - English

Resource type - Journals

ISSN - 2007-0705

DOI - 10.21640/ns.v11i22.1614

Subject(s) - control theory (sociology) , controller (irrigation) , electronic speed control , computer science , fuzzy logic , control engineering , rotor (electric) , artificial neural network , adaptive control , pid controller , tracking error , synchronous motor , engineering , control (management) , artificial intelligence , mechanical engineering , temperature control , electrical engineering , agronomy , biology

This paper presents a controller performance that is develop employing an adaptive B-spline neural network algorithm for adjusting the rotor speed of the permanent magnet synchronous motor. It includes a comparative analysis with three control strategies: conventional proportional integral, sliding mode and fuzzy logic. Also, gives a systematic way to determine the optimal control gains and improve the tracking error performance. A methodology for the adaptive controller and its training procedure are explained. The efficacy of the proposed method is analyzed using time simulations where the motor is subjected to disturbances and reference changes. The proposed control technique exhibits the best performance because it can adapt to every condition, demanding low computational effort for an on-line operation and considering the system nonlinearities.

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