Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Artificial Intelligence for the Control of Speed of the Bearing Motor with Winding Split Using DSP

Version 1 : Received: 20 December 2023 / Approved: 4 January 2024 / Online: 4 January 2024 (06:48:20 CET)

A peer-reviewed article of this Preprint also exists.

Dantas Neto, J.R.; Lopes, J.S.B.; Fonsêca, D.A.D.M.; Garcia, A.R.G.; Ferreira, J.M.S.; Villarreal, E.R.L.; Salazar, A.O. Artificial Intelligence for the Control of Speed of the Bearing Motor with Winding Split Using DSP. Energies 2024, 17, 1029. Dantas Neto, J.R.; Lopes, J.S.B.; Fonsêca, D.A.D.M.; Garcia, A.R.G.; Ferreira, J.M.S.; Villarreal, E.R.L.; Salazar, A.O. Artificial Intelligence for the Control of Speed of the Bearing Motor with Winding Split Using DSP. Energies 2024, 17, 1029.

Abstract

This article describes the study and digital implementation of a system onboard a TMS 3208F28335 ® DSP for vector control of the bearing motor speed with 4 poles split winding with 250W of power. Smart techniques: ANFIS and Neural Networks were investigated and computationally implemented to evaluate the bearing motor performance under the following conditions: operating as an estimator of uncertain parameters and as a speed controller. Therefore, the MATLAB program and its toolbox were used for the simulations and the parameter adjustments involving the structure ANFIS (Adaptive-Network-Based Fuzzy Inference System) and simulations with the Neural Network. The simulated results showed a good performance for the two techniques applied differently: the estimator and a speed controller using both a model of the induction motor operating as a bearing motor. The experimental part for velocity vector control uses three control loops: current, radial position, and speed, where the configurations of the peripherals, that is, the interfaces or drivers for driving the bearing motor.

Keywords

Bearingless; DSP; Induction motor; Radial position control

Subject

Engineering, Electrical and Electronic Engineering

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