Sensorless Air-Gap Flux Vector Control Induction Motor Drive Based on Particle Swarm Optimization Algorithm Flux Observer

Conference Title: 2018 International Symposium on Computer, Consumer and Control (IS3C) Conference Start Date: 2018, Dec. 6 Conference End Date: 2018, Dec. 8 Conference Location: Taichung, Taiwan A speed estimation technique based on particle swarm optimization (PSO) algorithm flux observer has been...

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Bibliographic Details
Published inThe Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings p. 213
Main Authors Luo, Yung-Chang, Chen, Yu-Hsiang, Pu, Wen-Cheng
Format Conference Proceeding
LanguageEnglish
Published Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.01.2018
Subjects
Air gaps
Algorithms
Computer simulation
Directional control
Flux
Induction motors
Particle swarm optimization
Rotor speed
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Summary:Conference Title: 2018 International Symposium on Computer, Consumer and Control (IS3C) Conference Start Date: 2018, Dec. 6 Conference End Date: 2018, Dec. 8 Conference Location: Taichung, Taiwan A speed estimation technique based on particle swarm optimization (PSO) algorithm flux observer has been proposed for sensorless air-gap flux vector control (AFVC) induction motor (IM) drive. The rotor speed estimation scheme based on the flux observer was designed by the Lyapunov stability theory, and the gain matrix of this observer was modulated by the particle swarm optimization (PSO) algorithm. Both simulation and experimental results verified the effectiveness of the proposed system.