Applying the Sine-Cosine Optimization Algorithm to the Parametric Estimation Problem in Three-Phase Induction Motors

The steady-state analysis of electrical machines requires a detailed characterization of their equivalent electrical circuit, which adequately represents the transformation and interaction between electrical and mechanical energy. This research aims to characterize the equivalent circuit of three-ph...

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Vydáno v:Ingeniería e investigación Ročník 44; číslo 2; s. e110310
Hlavní autoři: Montoya Giraldo, Oscar Danilo, Palombi Gómez, Juan Camilo, Niño Callejas, Santos Daniel
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bogota Universidad Nacional de Colombia 29.05.2024
Témata:
Algorithms
caracterización de circuitos eléctricos
datos del fabricante
electrical circuit characterization
Electrical properties
Equivalent circuits
Error analysis
Heuristic methods
Induction motors
manufacturer data
Mean square errors
Mechanical properties
metaheuristic optimization
multimodal optimization problema
Nonlinear programming
Nonlinear response
optimización metaheurística
Optimization
Optimization techniques
Parameter estimation
problema de optimización multimodal
Resolvers
Torque
Trigonometric functions
ISSN:0120-5609, 2248-8723, 2248-8723
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Shrnutí:The steady-state analysis of electrical machines requires a detailed characterization of their equivalent electrical circuit, which adequately represents the transformation and interaction between electrical and mechanical energy. This research aims to characterize the equivalent circuit of three-phase induction motors by minimizing the mean square error between the measured and calculated torque variables. These torques are obtained from data provided by the manufacturer, including starting, peak, and full-load torques. A metaheuristic optimization technique is applied to solve the resulting nonlinear programming model based on the interactions between the sine and cosine functions. The numerical results obtained with this algorithm demonstrate its efficiency in terms of response quality, reaching objective function values of less than \(1\times10^{-8}\) with regard to the measured and calculated variables. Simulation results in two test systems allow concluding that the parametric estimation problem in three-phase induction motors is a multimodal optimization problem. This implies a potentially infinite set of solutions that minimize the root mean square error and adequately represent the behavior of the motor's output torque under various probable operating conditions.
Bibliografie:ObjectType-Article-1
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ISSN:0120-5609
2248-8723
2248-8723
DOI:10.15446/ing.investig.110310