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An Instrumental Variable Method for Nonlinear System Identification Based on Sliding Modes
- Source :
- IFAC Proceedings Volumes, 18th IFAC World Congress, 18th IFAC World Congress, Aug 2011, Milan, Italy. pp.on line, ⟨10.3182/20110828-6-IT-1002.01335⟩
- Publication Year :
- 2011
- Publisher :
- HAL CCSD, 2011.
-
Abstract
- International audience; The paper deals with the dynamic identification in noisy environment of a class of nonlinear systems whose parameters depend linearly on the unknown parameters. The identification algorithm is based on an extended sliding modes observer and a least square estimation using an instrumental variable technique. The study of the measurement noise effect on the measured signals shows that the proposed solution is consistent. An application on a permanent magnet synchronous machine highlights the efficiency of the technique.
- Subjects :
- 0209 industrial biotechnology
Engineering
Observer (quantum physics)
Nonlinear system identification
business.industry
020209 energy
Instrumental variable
[SPI.NRJ]Engineering Sciences [physics]/Electric power
Mode (statistics)
02 engineering and technology
Recursive identification
Identification (information)
Nonlinear system
Noise
020901 industrial engineering & automation
Control theory
0202 electrical engineering, electronic engineering, information engineering
business
Permanent magnet synchronous machine
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IFAC Proceedings Volumes, 18th IFAC World Congress, 18th IFAC World Congress, Aug 2011, Milan, Italy. pp.on line, ⟨10.3182/20110828-6-IT-1002.01335⟩
- Accession number :
- edsair.doi.dedup.....1f313eab63960bd2c6639a5f15eed4ad