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Design and Implementation of Fuzzy-PI Controllers for PMSM Based on Multi-Objective Optimization Algorithms
I. Hsi Kao, Kuna Chung Lu,
Jau Woei Perng
電控工程研究所
研究成果
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Conference contribution
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同行評審
2
引文 斯高帕斯（Scopus）
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Keyphrases
Permanent Magnet Synchronous Motor
100%
Multi-objective Particle Swarm Optimization (MOPSO)
100%
Multi-objective Optimization Algorithm
100%
Fuzzy PI Controller
100%
Fuzzy Controller
66%
Controller Parameters
66%
Embedded Systems
33%
Controller
33%
Optimization Approach
33%
Daily Life
33%
Matrix Laboratory (MATLAB)
33%
Real-world Problems
33%
Fuzzy Theory
33%
Non-dominated Sorting Genetic Algorithm (NSGA-II)
33%
Improved Algorithm
33%
System Response
33%
Neural Network Learning
33%
User Demand
33%
Intelligent Algorithm
33%
Motor Controller
33%
Computing Software
33%
Neural Machine Learning
33%
Crowding Distance Sorting
33%
Computer Science
Optimization Algorithm
100%
Multi-Objective Optimization
100%
Permanent Magnet
100%
Multiobjective
66%
Particle Swarm Optimization
66%
Final Decision
33%
Neural Network
33%
Real-World Problem
33%
System Response
33%
Crowding Distance
33%
Machine Learning
33%
Learning System
33%
Embedded System
33%
Genetic Algorithm
33%
Engineering
Permanent Magnet Synchronous Motor
100%
Multiobjective Optimization
100%
Fuzzy Controller
66%
Particle Swarm Optimization
66%
Controller Parameter
66%
Simulation Result
33%
Limitations
33%
Genetic Algorithm
33%
Daily Life
33%
System Response
33%
Motor Controller
33%
Crowding Distance
33%
Learning System
33%
Chemical Engineering
Learning System
100%
Neural Network
100%