Journal article
System identification of proportional solenoid valve dynamics
International journal of modelling, identification and control, Vol.34(2), pp.103-115
2020
DOI: 10.1504/IJMIC.2020.110349
Abstract
We present a system identification technique for the characterisation of the linearity and dynamic response of a PSOL valve and its corresponding electronic control unit (ECU) using bandlimited white noise, as well as pseudo random "non-sum non-difference" (NSND) waveforms consisting of mutually prime frequencies to mitigate the effects of nonlinear distortions. The parameters of several transfer function models were simultaneously estimated from the voltage-flow frequency response using a nonlinear gradient descent technique. Candidate transfer function models were assessed using the mean squared residual (MSR) criterion and the corrected Akaike information criterion (AICc). The MSR yielded a transfer function consisting of ten poles and nine zeros, while the AICc yielded a simpler transfer function consisting of five poles and three zeros. Monte Carlo analysis demonstrated fragile stability for the MSR-selected model with respect to varying parameter values within estimated uncertainties, yet a robust stability for the AICc-selected model.
Details
- Title: Subtitle
- System identification of proportional solenoid valve dynamics
- Creators
- Bakir HajdarevicJacob HerrmannAndrea Fonseca Da Cruz - Universidade de São PauloDavid W Kaczka
- Resource Type
- Journal article
- Publication Details
- International journal of modelling, identification and control, Vol.34(2), pp.103-115
- Publisher
- Inderscience Publishers (IEL)
- DOI
- 10.1504/IJMIC.2020.110349
- ISSN
- 1746-6172
- eISSN
- 1746-6180
- Language
- English
- Date published
- 2020
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Anesthesia
- Record Identifier
- 9984296138102771
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