Design of fuzzy PI controller for brushless DC motor based on PSO–GSA algorithm
To design an optimal fuzzy proportional-integral (PI) controller for brushless DC motor (BLDCM), a random vibration particle swarm optimization (PSO)–gravitational search algorithm (GSA)-based approach is developed in this paper. By introducing a random vibration term, the PSO–GSA, which combines th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-01-01
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| Series: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/21642583.2020.1723144 |