scholarly journals Aircraft Flight Stabilizer System by CDM Designed Servo State-Feedback Controller

Aerospace ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 45
Author(s):  
Ekachai Asa ◽  
Yoshio Yamamoto

This research presents an automatic flight control system whose advantage is its ease of modification or maintenance while still effectively meeting the system’s performance requirement. This research proposes a mixed servo state-feedback system for controlling aircraft longitudinal and lateral-directional motion simultaneously based on the coefficient diagram method or CDM as the controller design methodology. The structure of this mixed servo state-feedback system is intuitive and straightforward, while CDM’s design processes are clear. Simulation results with aircraft linear and nonlinear models exhibit excellent performance in stabilizing and tracking the reference commands for both longitudinal and lateral-directional motion.

Author(s):  
D. Griffin ◽  
A. G. Kelkar

This paper presents a robust controller design for an automatic flight control system (AFCS) for a fighter aircraft model with eight inputs and seven outputs. The controller is designed based on McFarlane-Glover robustifying technique using a simple baseline LQG design. Controllers designed purely based on traditional LQG techniques are known to have no guaranteed robustness margins. The McFarlane-Glover technique can be used to enhance the stability robustness of the baseline LQG design using a two-step design process. In the first step, an LQG controller is designed which is optimized only for performance without any consideration to robustness. In the second step, the performance optimized LQG design is rendered robust using McFarlane-Glover procedure. The robustifying procedure uses a coprime factor uncertainty model and H∞ optimization. An important advantage of this procedure is that no problem dependent uncertainty modelling or weight selection is required in the second step of the process. The robustifying procedure also yields the quantitative estimate of the robustness.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 182731-182741
Author(s):  
Alfian Ma'Arif ◽  
Adha Imam Cahyadi ◽  
Samiadji Herdjunanto ◽  
Oyas Wahyunggoro

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