System identification of proportional solenoid valve dynamics. (13th October 2020)

• Record Type: Journal Article
• Authors: Hajdarevic, Bakir; Herrmann, Jacob; Cruz, Andrea Fonseca Da; Kaczka, David W.
• Is Part Of: International journal of modelling, identification and control. Volume 34:Number 2(2020)
• Page Start: 103
• Page End: 115
• Publication Date: 2020-10-13
• Subjects: PSOL -- proportional solenoid valve -- MSRs -- mean squared residuals -- AIC -- Akaike information criterion -- system identification -- transfer functions -- model optimisation -- pneumatic systems; Engineering -- Methodology -- Periodicals; Science -- Methodology -- Periodicals; 001.42
• Languages: English
• ISSNs: 1746-6172

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.