Multi-objective optimization of lateral flight control law: <i>A posteriori approach</i>

This paper presents a novel approach for the multi-objective optimization of flight control law design, utilizing an a posteriori method. Due to the diversity of aircraft flight control law design objectives, the design process is highly complicated, requiring a powerful approach for the simultaneous handling of multiple objectives and direct adaptation of design metrics and criteria. In this paper, we apply a multi-objective optimization procedure including reference point based algorithm to flight control design problem. This procedure aims to identify a set of approximate non-dominated solutions representing a trade-off between different objectives and to provide a well-prepared input for the decision-making stages. The applied approach enhances the efficiency of the design process by utilizing the principles of a posteriori methods to identify an optimal solution. The results for a selected Pareto optimal solution are reported, highlighting the effectiveness of the applied multi-objective optimization procedure.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Published
2025-10-09
DOI
https://doi.org/10.1177/09544100251383684
Primary Topic
Advanced Multi-Objective Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-objective optimization of lateral flight control law: A posteriori approach

Murat Millidere, Tolga Yiğit, James F. Whidborne, Yusuf Can Aktürk
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Advanced Multi-Objective Optimization Algorithms
article

Multi-objective optimization of lateral flight control law: A posteriori approach

Murat Millidere, Tolga Yiğit, James F. Whidborne, Yusuf Can Aktürk
article en

Abstract

This paper presents a novel approach for the multi-objective optimization of flight control law design, utilizing an a posteriori method. Due to the diversity of aircraft flight control law design objectives, the design process is highly complicated, requiring a powerful approach for the simultaneous handling of multiple objectives and direct adaptation of design metrics and criteria. In this paper, we apply a multi-objective optimization procedure including reference point based algorithm to flight control design problem. This procedure aims to identify a set of approximate non-dominated solutions representing a trade-off between different objectives and to provide a well-prepared input for the decision-making stages. The applied approach enhances the efficiency of the design process by utilizing the principles of a posteriori methods to identify an optimal solution. The results for a selected Pareto optimal solution are reported, highlighting the effectiveness of the applied multi-objective optimization procedure.

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace EngineeringVol. 240(4)
Turkish Aerospace Industries (Turkey) (TR), Cranfield University (GB)
Openalex Percentile: Top 70%
Advanced Multi-Objective Optimization Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.