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

• Published in: The 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
• Language: English
• 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

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.