MATEC Web of Conferences
Volume 22, 2015International Conference on Engineering Technology and Application (ICETA 2015)
|Number of page(s)||7|
|Section||Information and Communication Technology|
|Published online||09 July 2015|
Performance Assessment of Flight Simulator Servo System Based on LQG Performance Benchmark
School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
Flight simulator is an important application in the field of aerospace as semi-physical simulation equipment. As it requires supreme control precision and stability, it is especially important to search the performance assessment of flight simulator servo system. The traditional researches on flight simulator control performance index is more about dynamic output tracking features but few on input characteristics and effects. Based on Linear Quadratic Gaussian (LQG) performance benchmark, this paper makes analyses on high precision flight simulator in three kinds of controller while considering the influences of input and output signals’ effect on controllers. After processing the input and output data, combined with the linear fitting method, we can obtain LQG performance tradeoff curve. Through comparing the controller’s actual performance with the optimal performance, we’ll gain the controller’s control performance index and its potential.
Key words: Performance Assessment / LQG / flight simulator servo system / Potential performance index
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.