Proposal of a Fuzzy Controller for Radial Position in a Bearingless Induction Motor

In this paper, a radial position control approach of a bearingless induction motor is proposed. The rotor is supported by magnetic forces, which is complex to model. Generally, simplifications are adopted to determine a linearized model that hinders classical controllers' performance. On the ot...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.114808-114816
Main Authors: De Freitas Nunes, Evandro Ailson, Salazar, Andres Ortiz, Llanos Villarreal, Elmer Rolando, Souza, Francisco Elvis Carvalho, Dos Santos, Luciano Pereira, Lopes, Jose Soares Batista, Luque, Juan Carlos Cutipa
Format: Article
Language:English
Subjects:
bearingless induction motor
Controllers
Digital signal processing
Digital signal processors
DSP
Fuzzy control
Fuzzy controller
Induction motors
Knowledge bases (artificial intelligence)
Magnetic flux
Magnetic levitation
Mathematical models
Microprocessors
Nonlinear control
Operators (mathematics)
Rotors
split windings machine
Stator windings
Windings
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Summary:In this paper, a radial position control approach of a bearingless induction motor is proposed. The rotor is supported by magnetic forces, which is complex to model. Generally, simplifications are adopted to determine a linearized model that hinders classical controllers' performance. On the other hand, fuzzy controllers have non-linear characteristics and do not require precise mathematical models. Instead, it uses the experience and knowledge of human operators to build a knowledge base to be used on the control. The prototype under study is a three-phase induction motor without a rated power of 1 HP, 4-pole, 220/380V and rated current 3/1.75A. It operates on a vertical axis, so there is no need to compensate for the rotor weight. The paper proposes the implementation of a Mamdani Fuzzy PD controller in order to control the rotor radial position of a three-phase induction motor by means of a Texas Instruments TMS320F28335 Digital Signal Processor (DSP). We present experimental results that validate the good performance of the fuzzy controller.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2934820