Abstract
This paper reviews and compares available techniques for minimizing power loss of induction motors. It identifies a separate category of loss minimization techniques (LMTs)hybrid LMTs. Techniques have different convergence rates, parameter dependence, and convergence errors. Offline techniques are introduced and real-time techniques are detailed. Real-time LMTs are divided into model-based, physics-based, and hybrid categories. Application of a real-time LMT to a hybrid electric vehicle (HEV) is examined. Simulation and experimental results verify the characteristics of each category of real-time LMTs. Sensitivity of real-time LMTs to motor parameters is discussed. It is shown that techniques can be chosen based on application-specific requirements and that hybrid LMTs balance partial parameter independence and fast convergence to achieve the best overall performance.
Original language | English (US) |
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Article number | 5565477 |
Pages (from-to) | 2319-2328 |
Number of pages | 10 |
Journal | IEEE Transactions on Industry Applications |
Volume | 46 |
Issue number | 6 |
DOIs | |
State | Published - Nov 2010 |
Keywords
- Control-based optimization
- induction motor losses
- loss minimization
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering