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References (6)
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Neural network based modeling of travelling wave ultrasonic motor using genetic algorithm
- Publisher
- Emerald Publishing
- Copyright
- © Emerald Publishing Limited
- ISSN
- 0332-1649
- DOI
- 10.1108/compel-05-2019-0185
- Publisher site
- See Article on Publisher Site
Abstract
The purpose of this paper is to propose an improved differential evolution algorithm (DEA) suitable for motor’s model identification.Design/methodology/approachThe mutation operation of the standard DEA is improved, and the adaptive coefficient is designed to adjust the optimization process.FindingsThe application of motor model identification shows that the proposed improved DEA is more robust, with higher modeling accuracy and efficiency, and is more suitable for motor identification modeling applications. Compared with the ultrasonic motor model established by using particle swarm algorithm, the model established in this paper has higher precision.Originality/valueThis paper explores an improved DEA suitable for motor identification modeling. The algorithm can not only obtain the optimal solution but also effectively reduce the iterative generations and time required in the process of optimization identification.
Journal
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing
Published: Nov 15, 2019
Keywords: Model order reduction; Differential evolution; Ultrasonic motor; Identification modeling