Abstract The numerical evaluation and optimization of the feedback controller parameters of the model-based control implemented in the flying helicopter simulator is subject of this paper. The German Aerospace Center operates this helicopter as a flying testbed for numerous applications, e.g., pilot assistance and in-flight simulation. Initially, the elements of the model-based control are presented. A genetic algorithm and the Nelder–Mead simplex method used for optimization are described. Two simple objective functions to rate parameter sets in the time domain are presented, and a Simulink® model of the helicopter dynamics and the controller structure are used to find optimized sets. The first function, called “Delta Rating”, consists of a normalized integral of the absolute error between commanded and measured states. The second function incorporates the Delta Rating, but is enhanced by a penalty on overshoots. The controllers found are further evaluated using a frequency domain approach consisting of a weighted sum of the differences in amplitude and phase, also considering the coherence at the corresponding frequency. Apart from the Simulink® model, a ground-based simulator is used to evaluate the standard and the optimized controllers.
Model-based control of the flying helicopter simulator: evaluating and optimizing the feedback controller
CEAS Aeronautical Journal ; 2 , 1 ; 43-56
2011-08-24
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
ACT Demonstrator/Flying Helicopter Simulator
British Library Conference Proceedings | 1996
|Evaluation of flying helicopter simulator noseboom correction coefficients
Online Contents | 2014
|Evaluation of flying helicopter simulator noseboom correction coefficients
Online Contents | 2013
|Key Technologies for a New Flying Helicopter Simulator
British Library Conference Proceedings | 1991
|