Model-based detection of misfirings in an annular burner mockup

Abstract

If a detonation fails in a tube of a pulsed detonation engine, special measures are needed to refill this tube with fresh air. To initiate these measures, misfirings have to be detected reliably. In this contribution, the acoustic effects of burner tubes on a down-stream plenum are exploited to determine which of multiple tubes did not produce the expected acoustic signature. This is done with a bank of Kalman filters in combination with the Bayes’ rule. To develop and test these methods, a surrogate, non reacting experimental set-up is considered.