Abstract
This paper presents the use of a training algorithm based on a Lyapunov function approach applied to a stator current controller based on a state variable description of the induction machine plus a reference model. The results obtained with the proposed controller are compared with a previously reported method based on a Nonlinear Auto-Regressive Moving Average with eXogenous inputs (NARMAX) description of the induction machine. The proposed Lyapunov based training algorithm is used to ensure convergence of the weights towards a global minimum in the error function. Real time simulations employing a DSP based test bench are used to test the validity of the algorithms and the results are verified by a practical implementation of these controllers.
Original language | English |
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Title of host publication | Proceedings - 2015 IEEE 24th International Symposium on Industrial Electronics, ISIE 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 468-475 |
Number of pages | 8 |
ISBN (Electronic) | 9781467375542 |
DOIs | |
State | Published - 28 Sep 2015 |
Event | 24th IEEE International Symposium on Industrial Electronics, ISIE 2015 - Buzios, Rio de Janeiro, Brazil Duration: 3 Jun 2015 → 5 Jun 2015 |
Publication series
Name | IEEE International Symposium on Industrial Electronics |
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Volume | 2015-September |
Conference
Conference | 24th IEEE International Symposium on Industrial Electronics, ISIE 2015 |
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Country/Territory | Brazil |
City | Buzios, Rio de Janeiro |
Period | 3/06/15 → 5/06/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Backpropagation
- Induction motor drives
- Lyapunov methods
- Neural Networks