Design of structured H∞ flight controllers: Passive fault-tolerant versus observer-based structures

M Sato, A Marcos, D Akasaka - ISA transactions, 2023 - Elsevier
This article presents the structured H∞ design and validation of two types of flight controller
architectures: a passive fault-tolerant controller for the longitudinal motion and an active …

[HTML][HTML] Robust gain-scheduled missile autopilot design based on multifrequency extended state observers

SUN Zonghua, WU Liaoni, YOU Yancheng - Chinese Journal of …, 2023 - Elsevier
This paper describes the design and implementation of a three-axis acceleration control
autopilot for an asymmetric tail-controlled, skid-to-turn tactical missile. In an earlier flight test …

Gain scheduling: A short review

H Boufrioua, B Boukhezzar - 2022 2nd International …, 2022 - ieeexplore.ieee.org
In this paper, a review about gain scheduling (GS) is presented, with a special focus on the
classical GS approach and the linear parameter varying (LPV) approach. The main …

From impractical LPV controllers to practical and “implementable” LPV controllers: Verification with research airplane

M Sato - IFAC-PapersOnLine, 2022 - Elsevier
We first give a brief review of classical Gain-Scheduled (GS) controllers with our design
example of Stability/Control Augmentation System (S/CAS) for Quad-Tilt-Wing UAV …

Flutter suppression for underactuated aeroelastic wing section: Nonlinear gain-scheduling approach

H Lhachemi, Y Chu, D Saussié, G Zhu - Journal of Guidance, Control …, 2017 - arc.aiaa.org
The phenomena of aeroelasticity, introduced by the interaction between the structural,
inertial, and aerodynamic forces [1], can dramatically degrade the performance of an aircraft …

Missile Autopilot Design via Structured Robust Linear Parameter-Varying Synthesis

AM Simões, VMGB Cavalcanti - Journal of Guidance, Control, and …, 2023 - arc.aiaa.org
DESPITE the vast body of work on the application of gain-scheduling techniques to missile
autopilot design, designing such a control system remains a challenging synthesis problem …

A domain-knowledge-aided deep reinforcement learning approach for flight control design

HS Shin, S He, A Tsourdos - arXiv preprint arXiv:1908.06884, 2019 - arxiv.org
This paper aims to examine the potential of using the emerging deep reinforcement learning
techniques in flight control. Instead of learning from scratch, we suggest to leverage domain …

[PDF][PDF] Computational flight control: A domain-knowledge-aided deep reinforcement learning approach

HS Shin, S He, A Tsourdos - arXiv preprint arXiv:1908.06884, 2019 - researchgate.net
This paper aims to examine the potential of using the emerging deep reinforcement learning
techniques in flight control. Instead of learning from scratch, the autopilot structure is fixed as …

Explicit hidden coupling terms handling in gain-scheduling control design via eigenstructure assignment

H Lhachemi, D Saussié, G Zhu - Control Engineering Practice, 2017 - Elsevier
This paper presents a novel method for the design of gain-scheduled output feedback
controllers in the presence of hidden coupling terms, which naturally arise when …

An enhanced velocity-based algorithm for safe implementations of gain-scheduled controllers

H Lhachemi, D Saussié, G Zhu - International Journal of Control, 2017 - Taylor & Francis
This paper presents an enhanced velocity-based algorithm to implement gain-scheduled
controllers for nonlinear and parameter-dependent systems. A new scheme including pre …