Nonlinear Flight Control of a Two-Degree-of-Freedom Helicopter Using Takagi-Sugeno Fuzzy Model

2006 ◽  
Author(s):  
Gwo-Ruey Yu ◽  
S. H. Chen
Keyword(s):  
Flight Control ◽  
Fuzzy Model ◽  
Degree Of Freedom ◽  
Takagi Sugeno ◽  
Two Degree Of Freedom

Gain-scheduled flight control via two-degree-of-freedom H∞ optimization

1997 ◽  
Vol 211 (4) ◽  
pp. 263-268 ◽  
Author(s):  
D J Walker
Keyword(s):  
Flight Control ◽  
Equations Of Motion ◽  
Linear Interpolation ◽  
Gain Scheduling ◽  
Degree Of Freedom ◽  
Nonlinear Simulation ◽  
On Line ◽  
Air Speed ◽  
Gain Scheduled ◽  
Two Degree Of Freedom

The gain scheduling of a multivariable controller designed using H∞ optimization is presented. The design uses a two-degree-of-freedom H∞ optimization based on five linearizations taken from the non-linear rigid body equations of motion of a helicopter over the range 0–80 knots. The scheduled controller's parameters were computed on-line by linear interpolation with air speed of the design parameter sets. The resulting controller schedule was tested using a sophisticated and representative nonlinear simulation.

Robust Decoupled System Design of Uncertain Multivariable Feedback Systems

1999 ◽  
Vol 121 (4) ◽  
pp. 703-708
Author(s):  
Chih-Min Lin ◽  
Chen-Ling Ying
Keyword(s):  
Flight Control ◽  
Design Method ◽  
Degree Of Freedom ◽  
System Structure ◽  
Phase System ◽  
Model Matching ◽  
Feedback Systems ◽  
Design Algorithm ◽  
Multivariable Feedback ◽  
Two Degree Of Freedom

This paper presents a design algorithm of involving robust decoupled control of uncertain multivariable feedback systems. Two-degree-of-freedom system structure is adopted to handle the quantitative robustness and decoupled performance requirements. Quantitative feedback theory is applied for loop compensator design to achieve quantitative robustness. A decoupled model matching approach is employed for prefilter design to achieve input-output decoupling performance. Thus, the design method of two-degree-of-freedom compensators is proposed to achieve decoupled system control with quantitative robust performance. Since internal stability is satisfied, this design method performs appropriately for any stable or unstable, minimum or non-minimum phase system. The AFTI/F-16 flight control system is considered as the design example to illustrate the design algorithm.

Two-degree-of-freedom fuzzy model using associative memories and its applications

1993 ◽  
Vol 71 (1-2) ◽  
pp. 65-97 ◽  
Author(s):  
Toru Yamaguchi ◽  
Kenji Goto ◽  
Tomohiro Takagi
Keyword(s):  
Fuzzy Model ◽  
Degree Of Freedom ◽  
Associative Memories ◽  
Two Degree Of Freedom

Takagi-Sugeno Fuzzy Model-Based Flight Control and Failure Stabilization

2011 ◽  
Vol 34 (5) ◽  
pp. 1543-1555 ◽  
Author(s):  
Evan J. Butler ◽  
Hua O. Wang ◽  
John J. Burken
Keyword(s):  
Flight Control ◽  
Fuzzy Model ◽  
Model Based ◽  
Takagi Sugeno
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