Title :
Gain scheduling for fly-by-throttle flight control using neural networks
Author :
Chu, Chung-Kuang ; Yu, Gwo-Ruey ; Jonckheere, Edmond A. ; Youssef, Hussein M.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
A neural network approach to gain scheduling linear dynamic controllers for propulsion controlled aircraft (PCA) system is introduced. The linear controllers are synthesized by an H∞ method to solve the “model matching problem” for the flown-by-throttle crippled aircraft to match the nominal aircraft response at distinct flight conditions. The radial basis network is then applied to train the gain scheduling controller. A simulation on the pitch control design of an L-1011 under emergency fly-by-throttle control demonstrates the concept
Keywords :
H∞ control; aircraft control; control system synthesis; feedforward neural nets; model reference adaptive control systems; neurocontrollers; H∞ method; L-1011; PCA system; crippled aircraft; emergency fly-by-throttle control; fly-by-throttle flight control; gain scheduling; gain scheduling linear dynamic controllers; linear controller synthesis; model matching problem; neural networks; pitch control design; propulsion controlled aircraft system; radial basis network; Aerospace control; Aircraft propulsion; Control design; Control system synthesis; Control systems; Dynamic scheduling; Gain; Network synthesis; Neural networks; Principal component analysis;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.572744
