Research on fuzzy logic control methods for Mars airplane. Issue 5 (19th August 2014)

• Record Type: Journal Article
• Authors: Liu, Yanbin; Yao, Keming; Lu, Yuping
• Editors: Isikveren, AskinT.
• Is Part Of: Aircraft engineering and aerospace technology. Volume 86:Issue 5(2014)
• Publication Date: 2014-08-19
• Subjects: Aerospace engineering -- Periodicals; Aeronautics -- Systems engineering -- Periodicals; Astronautics -- Systems engineering -- Periodicals; Airplanes -- Equipment and supplies -- Periodicals; Space vehicles -- Equipment and supplies -- Periodicals; Aerospace industries -- Periodicals; 629.1
• DOI: 10.1108/AEAT-11-2012-0210
• Languages: English
• ISSNs: 1748-8842

Abstract

Abstract : Purpose: The purpose of this paper is to present the flight control law based on the fuzzy logic control methods for Mars airplane, and the research emphasis is placed on the attitude hold and the command track using the fuzzy control. Design/methodology/approach: The aircraft model is established with the combination of atmospheric environment, aerodynamic force and propulsive action. Then, the dynamic characteristics are analyzed in response to the different flight points for Mars airplane. Afterwards, the flight control law is designed by applying the fuzzy logic theory to realize the attitude hold and the command track for Mars airplane. Findings: The simulation results demonstrate that the proposed control law based on the fuzzy logic control methods is effective to guarantee system stability and relieve coupling dynamics. Also, this control system can provide strong robustness and good tracking performance for Mars airplane. Practical implications: The current work offers a new approach for the control law design of Mars airplane. The presented fuzzy control system can be applied to the other unconventional airplanes which will fly under unknown and uncertain environment in order to implement the complicated tasks such as deep space exploration. Originality/value: This paper provides the new methods for Mars airplane to design the fuzzy control system which consists of three implementation steps: the fuzzy quantization control step, the fuzzy decoupling control step and the fuzzy attitude control step. Through the progressive design, this presented control system of Mars airplane has strongly nonlinear and robust control ability due to the application of the fuzzy expert concepts.