An optimized excitation signal design for identification of PWA model and application to automotive throttles. (March 2023)
- Record Type:
- Journal Article
- Title:
- An optimized excitation signal design for identification of PWA model and application to automotive throttles. (March 2023)
- Main Title:
- An optimized excitation signal design for identification of PWA model and application to automotive throttles
- Authors:
- Ren, Zhenxing
- Abstract:
- In the automotive application for Electronic Control Units (ECU), dynamic models with high-precision to simulate mechatronic actuators are required for various analysis and design tasks like Hardware-in-the-Loop (HiL) simulation. It is known that the modeling of systems with significant friction effects is not accessible. The piecewise-affine (PWA) model has recently attracted considerable interest due to its high approximation capability for modeling systems with friction. Because the model quality depends intensely on the test signal design, a model-free optimized excitation signal design for identifying PWA models is presented in this paper. The presented method is demonstrated with an automotive throttle, and a PWA model is identified with a four-step identification approach. The result shows that the optimization method can achieve a better model quality, which is sufficient for the HiL simulation.
- Is Part Of:
- Measurement and control. Volume 56:Number 3/4(2023)
- Journal:
- Measurement and control
- Issue:
- Volume 56:Number 3/4(2023)
- Issue Display:
- Volume 56, Issue 3/4 (2023)
- Year:
- 2023
- Volume:
- 56
- Issue:
- 3/4
- Issue Sort Value:
- 2023-0056-NaN-0000
- Page Start:
- 844
- Page End:
- 856
- Publication Date:
- 2023-03
- Subjects:
- System identification -- PWA-model -- excitation signal design -- automotive throttles
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Engineering instruments -- Periodicals
Production engineering -- Periodicals
629.8 - Journal URLs:
- http://mac.sagepub.com ↗
http://www.uk.sagepub.com/home.nav ↗
http://catalog.hathitrust.org/api/volumes/oclc/4518800.html ↗ - DOI:
- 10.1177/00202940221135903 ↗
- Languages:
- English
- ISSNs:
- 0020-2940
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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