In this paper, a mathematical model has been developed and later combined with dynamic performance test methodology to investigate and understand the dynamic characteristics of different types of rotary Electronic Fuel Control (EFC) valves. The model takes into account the dynamics of the electrical and mechanical portions of the EFC valves. A recursive least squares (RLS) type system identification methodology has been utilized to determine the transfer functions of the different types of EFC valves that were investigated. Methods have been used both in frequency domain as well as time domain. Based on the characteristic patterns exhibited by the EFC valves, a fuzzy logic based pattern classification method was utilized to identify faulty EFC valves from good ones. The developed methodology was shown to provide robust diagnostics for a wide range of EFC valves.

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