A comprehensive robust control design and optimization methodology for complex flexible-structure systems

Abstract

Robust control design for complex flexible structures involves many consecutive essential steps. Additionally, many design parameters arise, which turn design optimization into a cumbersome and difficult task. This paper presents a comprehensive robust H∞-optimal control design methodology for this class of systems. It relies on a pragmatic approach: The control engineer produces an initial design and reuses it in subsequent design iterations and parameter optimization. The methodology is illustrated by a large transport aircraft model and shows high potential to obtain and tune robust high-performance controllers. Expert knowledge and design decisions are introduced in a natural, clearly structured way, while control engineers are relieved from repetitive design tasks which are safely automated.

Actuator and Sensor Positioning Optimization in Control Design for a Large BWB Passenger Aircraft

“…Control designs on the same BWB aircraft configuration that aim also at loads alleviation and flight control have been carried out in [21,22]. In [23], an LPV control design is performed and convex control design approaches are in the process of submission.…”

ACFA 2020 − An FP7 project on active control of flexible fuel efficient aircraft configurations

“…A large variety of design methods (H ∞ -, H 2 -optimal control design, H ∞ ¦xed-order optimization methods) and robust and scheduled extensions of these methods have been applied. Details can be found in [4,8,9,11,20,21,24]. Furthermore, modern convex synthesis design techniques are investigated by ONERA [23].…”

Robust lateral blended-wing-body aircraft feedback control design using a parameterized LFR model and DGK-iteration

“…A general integrated methodology for multiobjective robust control design has been presented in [12]. Previous, closely related studies started on a larger BWB passenger aircraft predesign model: for LQ-based lateral control designs see [13], the application of a genetic algorithm for parameter optimization of a multiobjective H ∞ DK-iteration design has been treated in [14].…”