Identification and Validation of the Cessna Citation X Business Aircraft Engine Component Level Modeling with Flight Tests

摘要

The aeronautical companies are continuously improving their aircrafts existing performances (ex: A320Neo). Thus, aircraft performances knowledge is a major issue, and is worth developing highly accurate models of aircraft, including their engines models. The purpose of this study is to create the highest level of accuracy model possible of an airplane turbofan. The mathematical model exposed is based on a Component Level Modeling approach. This mathematical model will then be optimized using an estimation algorithm. This algorithm was performed using two approaches: a black box, and a grey box. One set of flight tests has been defined, and performed on a Cessna Citation X Research Aircraft Flight Simulator, that was designed and developed by the well-known flight simulation company CAE Inc.; this simulator is equipped with a level D flight dynamics toolbox. The D level is the highest fidelity rank given by the certification authorities for aircraft flight dynamics qualification. The Cessna Citation X is an American long-range medium-sized fast business jet. It is powered by two turbofan engines AE 3007C developed by Rolls-Royce; this type of engine is a twin spool high bypass ratio turbofan. The results obtained by the algorithm were validated with the flight tests data obtained by flying the highly qualified research simulator.