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Knock Thresholds and Stochastic Performance Predictions: An Experimental Validation Study
Technical Paper
2019-01-1168
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Knock control systems are fundamentally stochastic, regulating some aspect of the distribution from which observed knock intensities are drawn. Typically a simple threshold is applied, and the controller regulates the resultant knock event rate. Recent work suggests that the choice of threshold can have a significant impact on closed loop performance, but to date such studies have been performed only in simulation. Rigorous assessment of closed loop performance is also a challenging topic in its own right because response trajectories depend on the random arrival of knock events. The results therefore vary from one experiment to the next, even under identical operating conditions. To address this issue, stochastic simulation methods have been developed which aim to predict the expected statistics of the closed loop response, but again these have not been validated experimentally. This paper therefore investigates experimentally the effect of using two different knock thresholds, and validates, to the extent possible, stochastic predictions for their closed-loop performance.
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Authors
Citation
Shayestehmanesh, S., Wang, Z., Peyton Jones, J., and Prucka, R., "Knock Thresholds and Stochastic Performance Predictions: An Experimental Validation Study," SAE Technical Paper 2019-01-1168, 2019, https://doi.org/10.4271/2019-01-1168.Data Sets - Support Documents
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