Soft computing applications on a SR-30 turbojet engine

The use of soft-computing algorithms in hardware-in-the-loop applications has been investigated. A Proportional-Integral-Derivative (PID) classical controller and a Fuzzy Logic Controller (FLC) were designed and successfully tested on the Turbine Technologies SR-30 turbojet engine for the main-stage operation of the engine. Transfer function model of the plant was obtained using frequency-response method. Closed-loop controllers both with the PID and FLC algorithms were tested in a simulated environment before their application. Additionally, application of Bayesian Belief Networks (BBN) for the start-up sequence of the engine was investigated and a BBN design has been made.