Diego Alejandro Herrera-Jaramillo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Diego Alejandro Herrera-Jaramillo has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Andrés Tobón
Instituto Tecnológico Metropolitano
2 shared publications - Andrés Julián Saavedra-Montes
Facultad de Minas, Universidad Nacional de Colombia, Medellín 050041, Colombia
1 shared publication - Carlos Andrés Ramos-Paja
Facultad de Minas, Universidad Nacional de Colombia, Medellín 050043, Colombia
1 shared publication - Fabio Andrade
Electrical and Computer Engineering Department, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA
1 shared publication - Jhon Montano
Department of Electronics and Telecommunications, Instituto Tecnológico Metropolitano, Medellín 050028, Colombia
1 shared publication - Oscar Daniel Garzon-Rivera
Electrical and Computer Engineering Department, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA
1 shared publication
Latest Publications
- 31 January 2025
- Published by Springer Nature
- p. 261-273
Design and Control Procedure for a Step-Down USB Charger/Discharger
- 31 January 2025
- Published by Springer Nature
- p. 261-273
Design and Control Procedure for a Step-Down USB Charger/Discharger
- Open Access
- 21 November 2023
- Published by Springer Nature in Iranian Journal of Science and Technology, Transactions of Electrical Engineering
- Vol. 48 (1) , 337-347
Estimating the Parameters of a Three-Phase Induction Motor using the Vortex Search Algorithm
In this paper, we present a new optimization method to estimate the parameters and torques of an induction motor (IM). The proposed method is known as the Vortex Search Algorithm (VSA), whose performance is based on the behavior of the vortices created by stirred fluids. This algorithm was compared with other four optimization methods reported in the specialized literature (grasshopper optimization algorithm, particle swarm optimization, salp swarm algorithm and sine cosine algorithm), and its solution quality, precision, and robustness were validated using two test motors. During the tests, we analyzed the minimum error between the estimated values and the values provided by the manufacturer, as well as the global error of each method and their required processing time. The results show that the VSA is an excellent alternative to estimate the parameters of an IM, as it exhibited the best performance when compared to the other optimization methods.
- 21 November 2023
- Published by Springer Nature in Iranian Journal of Science and Technology, Transactions of Electrical Engineering
- Vol. 48 (1) , 337-347
Open AccessEstimating the Parameters of a Three-Phase Induction Motor using the Vortex Search Algorithm
In this paper, we present a new optimization method to estimate the parameters and torques of an induction motor (IM). The proposed method is known as the Vortex Search Algorithm (VSA), whose performance is based on the behavior of the vortices created by stirred fluids. This algorithm was compared with other four optimization methods reported in the specialized literature (grasshopper optimization algorithm, particle swarm optimization, salp swarm algorithm and sine cosine algorithm), and its solution quality, precision, and robustness were validated using two test motors. During the tests, we analyzed the minimum error between the estimated values and the values provided by the manufacturer, as well as the global error of each method and their required processing time. The results show that the VSA is an excellent alternative to estimate the parameters of an IM, as it exhibited the best performance when compared to the other optimization methods.