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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Whei-Min Lin Chih-Ming Hong Ting-China Ou Kai-Hung Lu Cong-Hui Huang |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Automation and Control Engineering, Far East University, Tainan 744, Taiwan, R.O.C. (Cong-Hui Huang) || Institute of Nuclear Energy Research, Atomic Energy Council, Taoyuan 32546, Taiwan, R.O.C. (Ting-China Ou) || Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan, R.O.C. (Whei-Min Lin; Chih-Ming Hong; Kai-Hung Lu) |
| Abstract | This paper presents the design of an on-line training fuzzy neural network (FNN) using back-propagation learning algorithm with modified particle swarm optimization (MPSO) regulating controller for the induction generator (IG). The MPSO is adopted in this study to adapt the learning rates in the back-propagation process of the FNN to improve the learning capability. The proposed output maximization control is achieved without mechanical sensors such as the wind speed or position sensor, and the new control system will deliver maximum electric power with light weight, high efficiency, and high reliability. The estimation of the rotor speed is designed on the basis of the sliding mode control theory. |
| Starting Page | 1659 |
| Ending Page | 1664 |
| File Size | 158099 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424428526 |
| DOI | 10.1109/AIM.2009.5229827 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-14 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Control systems Fuzzy neural networks Fuzzy control Sliding mode control Lighting control Mechanical sensors Power system reliability Algorithm design and analysis Particle swarm optimization Induction generators induction generator (IG) sliding mode speed observer fuzzy neural network (FNN) wind turbine (WT) modified particle swarm optimization (MPSO) |
| Content Type | Text |
| Resource Type | Article |
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