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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Uddin, M.N. Rebeiro, R.S. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical Engineering, Lakehead University, Thunder Bay, Ontario P7B 5E1, Canada (Uddin, M.N.; Rebeiro, R.S.) |
| Abstract | This paper presents a high performance interior permanent magnet synchronous motor (IPMSM) drive system based on a hybrid intelligent speed controller. Closed loop vector control technique is applied to model the drive system and the hybrid speed controller is designed as a combination of a PI controller with fuzzy inference system. The speed controller is designed in such a way that satisfactory speed and torque responses can be attained in both steady state and dynamic conditions. A flux controller is also incorporated so that both torque and flux of the motor can be controlled while maintaining current and voltage constraints. Thus the proposed drive widens the operating speed limits for the motor and enables the use of the reluctance torque. To investigate the performances in both transient and steady state conditions, the results of the proposed IPMSM drive system are compared with those of the conventional PI controller based drive in simulation. The proposed IPMSM drive is also implemented in real-time using DSP board DS1104 for a laboratory 5 HP motor. Both simulation and experimental results demonstrate the better responses in terms of torque and speed for the proposed drive over a wide speed range. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 2332663 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424494989 |
| ISSN | 01972618 |
| e-ISBN | 9781424495009 |
| DOI | 10.1109/IAS.2011.6074332 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Insulated gate bipolar transistors Flux Weakening Control Barium PI Controller Hybrid Controller Maximum Torque per Ampere Control Computational modeling Mathematical model Interior Permanent Magnet Synchronous Motor Fuzzy logic controller Vector Control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering |
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