Gain-scheduled flight control law design using a new fuzzy clustering technique

2007 ◽  
Author(s):  
Ali Reza Mehrabian ◽  
S. Vahid Hashemi ◽  
Jafar Roshanian
Keyword(s):  
Fuzzy Clustering ◽  
Flight Control ◽  
Control Law ◽  
Clustering Technique ◽  
Gain Scheduled

Gain-Scheduled Two-Loop Autopilot for an Aircraft

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Laleh Ravanbod ◽  
Dominikus Noll
Keyword(s):  
Nonlinear Systems ◽  
Flight Control ◽  
New Method ◽  
Optimal Controller ◽  
Control Law ◽  
Vertical Acceleration ◽  
Operational Conditions ◽  
Gain Scheduled

We present a new method to compute output gain-scheduled controllers for nonlinear systems. We use structured H∞-control to precompute an optimal controller parametrization as a reference. We then propose three practical methods to implement a control law which has only an acceptable loss of performance with regard to the optimal reference law. Our method is demonstrated in longitudinal flight control, where the dynamics of the aircraft depend on the operational conditions velocity and altitude. We design a structured controller consisting of a PI-block to control vertical acceleration, and another I-block to control the pitch rate.

scholarly journals Design of Gain Scheduled H.INF. Flight Control Law Satisfying Specified Stability Margin.

2000 ◽  
Vol 48 (561) ◽  
pp. 322-328 ◽  
Author(s):  
Yasuhiro YAMAGUCHI ◽  
Masahiro OHNO ◽  
Takashi HATA ◽  
Atsumi OHARA ◽  
Masakazu IDE
Keyword(s):  
Flight Control ◽  
Stability Margin ◽  
Control Law ◽  
Gain Scheduled

Automated procedure for gain scheduled flight control law design

2000 ◽  
Author(s):  
M. Oosterom ◽  
G. Schram ◽  
R. Babuska ◽  
H. Verbruggen
Keyword(s):  
Flight Control ◽  
Control Law ◽  
Gain Scheduled
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