A Multi-label Approach for Diagnosis Problems in Energy Systems using LAMDA algorithm

Gull, Carlos Quintero; Aguilar, José; R-Moreno, María D.

doi:10.1109/fuzz-ieee55066.2022.9882828

Cited by 2 publications

(1 citation statement)

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“…The Learning Algorithm for Multivariate Data Analysis (LAMDA) [30,41] is an algorithm from the Artificial Intelligence, initially developed for classification and clustering. The algorithm identifies functional states of a system through the adequacy degree concept.…”

Section: -Lamda Controllermentioning

confidence: 99%

An Intelligent Controller Based on LAMDA for Speed Control of a Three-Phase Inductor Motor

Morales,

Fabara,

Pozo

2023

Emerg Sci J

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Three-phase induction motors are widely used in the industrial field due to their low cost and robustness; therefore, it is essential to continuously develop new proposals that improve their behavior and response in applications where speed control is required. This paper proposes the development of an intelligent controller programmed in a PLC and interconnected with a three-phase induction motor through a VFD. The novel intelligent controller bases its operation on the LAMDA algorithm, which acts as a decision-making system based on the state of the error with respect to the speed reference and its derivative, obtaining a closed-loop controller. In addition, the VFD receives commands from the PLC to operate the motor at a constant voltage-frequency ratio in which flux remains constant. The proposed controller has been validated in two study cases: i) reference changes and ii) rejection of disturbances. The results obtained are promising and show a good performance of the LAMDA controller when compared qualitatively and quantitatively with the controller most commonly used in industrial systems, such as PID, and controllers with similar characteristics, such as fuzzy, based on Mamdani and Takagi-Sugeno inference. Doi: 10.28991/ESJ-2023-07-03-01 Full Text: PDF

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Section: -Lamda Controllermentioning

confidence: 99%