Abstract
Iterative learning control (ILC) is a simple technique devised for repetitive systems. In this work, an inter-sample ILC algorithm is proposed for the speed control problem of an induction motor. The proposed algorithm is mathematically analyzed and validated using a real-time experiment. Its performance is observed to be better than that of PI based Field Oriented Control (FOC) regarding convergence rate and overshoot. The proposed algorithm is different from the conventional ILC as we are not considering a repetitive control task in this work.
| Original language | English |
|---|---|
| Title of host publication | Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2008-2013 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538611272 |
| DOIs | |
| State | Published - 15 Dec 2017 |
Publication series
| Name | Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society |
|---|---|
| Volume | 2017-January |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- ILC
- Induction motor
- Iterative learning control
- Linear Matrix Inequalities (LMIs)
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Control and Optimization
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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