Modeling aircraft jet engine and system identification by using Genetic Programming

In this paper, a new approach for discovering an aircraft jet engine model is proposed by using system identification and Genetic Programming (GP). The relationship between the engine Exhaust Gas Temperature (EGT), as a major indicator of the engine health condition, and other engine parameters and operating conditions corresponding to different phases of the flight is modelled by using GP technique. Toward this end, flight characteristics are divided into several phases such as the take off and the cruise. The GP scheme is then used to discover the structure of the interrelations among engine parameters. This approach provides an effective strategy to estimate the aircraft jet engine EGT without requiring any specific information on the internal engine model and characteristics. The performance of the proposed algorithm is demonstrated by applying it to a dual spool engine data that is generated by using the Gas turbine Simulation Program (GSP) software.