A Novel Parameter Estimation Method for PMSM by Using Chaotic Particle Swarm Optimization With Dynamic Self-Optimization
Author:
Affiliation:
1. School of Electrical and Information Engineering, Hunan University, Changsha, China
2. School of Electronic Information and Electrical Engineering, Changsha University, Changsha, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10186246/10050832.pdf?arnumber=10050832
Reference27 articles.
1. Parameters Identification of Equivalent Model of Permanent Magnet Synchronous Generator (PMSG) Wind Farm Based on Analysis of Trajectory Sensitivity
2. The Parameter Identification of PMSM Based on Improved Cuckoo Algorithm
3. Parameter Estimation for VSI-Fed PMSM Based on a Dynamic PSO With Learning Strategies
4. PMSM parameter identification based on improved PSO
5. Position-Offset-Based Parameter Estimation Using the Adaline NN for Condition Monitoring of Permanent-Magnet Synchronous Machines
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