Abstract
In this paper, the full tracking problem in aircraft system identification and control is presented. Time domain output error method with maximum likelihood principle was used to perform system identification. The linear quadratic regulator (LQR)-based approach has been used for solving aviation full tracking problems in aviation. It has been shown that the generalized nonlinear LQR control is able to handle such problems even in case of inaccurate measurements and in the presence of moderate disturbances provided that the model of an aircraft is properly identified.
Highlights
The tracking problem is of great importance in advanced aircraft control [1,2,3,4,5,6,7]
In order to assess the stability of the extended linear quadratic regulator (LQR) control and tracking accuracy for long lasting flights, a case with no atmospheric disturbances was analyzed
This means that the generalized nonlinear LQR control seems to be an effective tool for the full tracking problems
Summary
The tracking problem is of great importance in advanced aircraft control [1,2,3,4,5,6,7]. Off-line identification from flight test data and dynamical model tuning e.g., for C and D class full flight simulators certification performing a flight along a prescribed path with appropriate timing using automatic control in real time Both these problems can be tackled by using a classical control systems methodology based on PID controllers [8,9,10,11,12,13]. It will be shown that if available measurements are sufficiently accurate, the generalized LQR control enables tracking the prescribed trajectory with sufficient accuracy for a long lasting flight, provided that model of an aircraft is adequate and accurate enough.
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