Abstract
This paper presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1 hp interior permanent magnet motor. The efficacy of the proposed GFLC based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional PI controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be a robust for high performance industrial drive applications.
| Original language | English |
|---|---|
| Pages (from-to) | 731-737 |
| Number of pages | 7 |
| Journal | Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) |
| Volume | 2 |
| State | Published - 2003 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- And Digital Signal processor
- Fuzzy Logic
- Genetic Algorithm
- Interior Permanent Magnet Motor
- Real-Time Implementation
- Vector Control
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
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