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- Title
Artificial Intelligence for the Control of Speed of the Bearing Motor with Winding Split Using DSP.
- Authors
Dantas Neto, José Raimundo; Lopes, José Soares Batista; Fonsêca, Diego Antonio De Moura; Garcia, Antonio Ronaldo Gomes; Ferreira, Jossana Maria de Souza; Villarreal, Elmer Rolando Llanos; Salazar, Andrés Ortiz
- 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 four poles split winding with 250 W 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.
- Subjects
ARTIFICIAL intelligence; INDUCTION motors; SPEED; FUZZY logic; VECTOR control
- Publication
Energies (19961073), 2024, Vol 17, Issue 5, p1029
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en17051029