Control parameter tuning for aircraft crosswind landing via multi-solution particle swarm optimization. Issue 11 (2nd November 2018)

• Record Type: Journal Article
• Authors: Bian, Qi; Nener, Brett; Wang, Xinmin
• Is Part Of: Engineering optimization. Volume 50:Issue 11(2018)
• Page Start: 1914
• Page End: 1925
• Publication Date: 2018-11-02
• Subjects: Crosswind landing -- control parameter optimization -- multi-solution particle swarm optimization; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2018.1435646
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: Crosswind landing is one of the most complex and challenging landing manoeuvres; an aircraft can drift laterally or could even be blown off the runway under extreme crosswind conditions. This article proposes an improved multi-group swarm-based optimization method that can not only optimize the parameters of the lateral flight control system, but also find diversity solutions of the underlying optimization problem. During the optimizing process, several swarm groups are generated to search potential areas for the optimal solution. These groups exchange information with each other during the searching process and focus on their different but continuous spaces. Finally, a diverse range of solutions is presented to the engineer for the flight control system design. A nonlinear 6 degrees-of-freedom rigid model of a Boeing 747 is used as a test bed to verify the robustness and feasibility of the proposed method.