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Summary & Details

Online Derivation of Control Parameters by Strength Pareto Evolutionary Algorithm 2 for Vibration Reduction in SRM

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20214291

Paper/Info type: Other International Conferences

No.A3.4

Pages: 1-8(Total 8 p)

Date of publication: May 2021

Publisher: JSAE

Language: English

Event: International Electric Vehicle Technology Conference EVTeC 2021 [Online Meeting]

Detailed Information

Category(E)	Structure and Control of Electric Machines
Author(E)	1) Kohei Umeta, 2) Nobukazu Hoshi, 3) Ryosuke Ota
Affiliation(E)	1) Tokyo University of Science, 2) Tokyo University of Science, 3) Tokyo University of Science
Abstract(E)	Switched reluctance motor (SRM) suffers from large vibration. However, it is difficult to derive the optimum control parameters to reduce the vibration. As a solution to the problem, this paper proposes a method that uses Strength Pareto Evolutionary Algorithm 2 (SPEA2). In the proposed method, the optimum control parameters for each torque can be derived online. In this paper, the effectiveness of the method was confirmed with a simulation and an experiment. In the simulation, it could be confirmed that the radial force, which was one of the causes of the vibration, was reduced with the proposed method. The noise reduction by the method was also confirmed in the experiment.

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