We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
An improved particle swarm optimization algorithm used in brushless DC motor.
- Authors
SUN Yu-sheng; XUE He-jie
- Abstract
Aiming at overcoming the weak anti-jamming capability when brushless DC motor of electric vehicle runs under the base speed range, an improved particle swarm optimization (PSO) algorithm was designed, that is, by changing the learning factor and inertia weight to optimize quantitative factors, scale factor and control rules of the fuzzy controller. The simulation results verified that the algorithm had features of short control time, small overshoot, high anti-interference, so it could made the brushless DC motor achieve stable operation state over a wide speed range.
- Subjects
BRUSHLESS direct current electric motors; ELECTRIC vehicles; PARTICLE swarm optimization; FUZZY control systems; SIMULATION methods &; models
- Publication
Journal of Zhengzhou University of Light Industry, Natural Science Edition, 2014, Vol 29, Issue 3, p48
- ISSN
2095-476X
- Publication type
Article
- DOI
10.3969/j.issn.2095-476X.2014.03.011