A novel hybrid cuckoo search algorithm for optimization of a line-start PM synchronous motor
[ 1 ] Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee
[2.2] Automation, electronics, electrical engineering and space technology
2023
scientific article
english
- hybrid cuckoo search algorithm
- heuristic algorithms
- multi-objective optimization
- permanent magnet synchronous motor
EN The paper presents a novel hybrid cuckoo search (CS) algorithm for the optimization of the line-start permanent magnet synchronous motor (LSPMSM). The hybrid optimization algorithm developed is a merger of the heuristic algorithm with the deterministic Hooke–Jeeves method. The hybrid optimization procedure developed was tested on analytical benchmark functions and the results were compared with the classical cuckoo search algorithm, genetic algorithm, particle swarm algorithm and bat algorithm. The optimization script containing a hybrid algorithm was developed in Delphi Tiburón. The results presented show that the modified method is characterized by better accuracy. The optimization procedure developed is related to a mathematical model of the LSPMSM. The multi-objective compromise function was applied as an optimality criterion. Selected results were presented and discussed.
02.2023
144586-1 - 144586-8
Article number: 144586
CC BY-NC-ND (attribution - noncommercial - no derivatives)
open journal
final published version
02.2023
at the time of publication
100
1,2