Simulation Of Aircraft Pilot Flight Controls Using Nonlinear System Identification  

Oleh:

Eklund, J. Mikael ; Korenberg, Michael J.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Simulation vol. 75 no. 2 (Feb. 1999), page 72-81.
Topik: Aerospace system simulation; flight control systems; full flight simulators; nonlinear system identification; parallel cascade identification
Fulltext: 72.pdf (1.02MB)

Isi artikel

This paper is concerned with modelling of the front end of an aircraft pilot flight control system’s behaviour using a nonlinear system identification technique known as parallel cascade identification. Using this technique, we are able to model a critical part of a pilot flight control system with sufficient accuracy to meet the objective test requirements of the U.S. Federal Aviation Administration for certifying full flight simulators. Traditional approaches to modelling such aircraft systems involve extensive analytical studies of the design of the system, lengthy and detailed empirical testing and recording of data from the physical system, and then considerable analysis to fit parametric models to the data. The approach presented in this paper virtually eliminates the need for analysis of the system in question, significantly reduces the number of signals that need be recorded from the real aircraft flight control system, and provides an extremely fast method of identifying the mathematical model based on these data. Overall, the time and costs associated with building an effective model are greatly reduced.

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