JOURNAL ARTICLE

Bio-inspired aircraft control

Pavel ZikmundMiroslav MacíkPetr DvořákZdeněk Míkovec

Year: 2018 Journal:   Aircraft Engineering and Aerospace Technology Vol: 90 (6)Pages: 983-991   Publisher: Emerald Publishing Limited

Abstract

Purpose This paper aims to present a state-of-the-art review in various fields of interest, leading to a new concept of bio-inspired control of small aircraft. The main goal is to improve controllability and safety in flying at low speeds. Design/methodology/approach The review part of the paper gives an overview of artificial and natural flow sensors and haptic feedback actuators and applications. This background leads to a discussion part where the topics are synthesized and the trend in control of small aircraft is estimated. Findings The gap in recent aircraft control is identified in the pilot–aircraft interaction. A pilot’s sensory load is discussed and several recommendations for improved control system architecture are laid out in the paper. Practical implications The paper points out an opportunity for a following research of suggested bio-inspired aircraft control. The control is based on the artificial feeling of aerodynamic forces acting on a wing by means of haptic feedback. Originality/value The paper merges two research fields – aircraft control and human–machine interaction. This combination reveals new possibilities of aircraft control.

Keywords:
Controllability Control (management) Aerodynamics Engineering Haptic technology Actuator Control engineering Aeronautics Computer science Simulation Aerospace engineering Artificial intelligence

Metrics

7
Cited By
1.50
FWCI (Field Weighted Citation Impact)
73
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biomimetic flight and propulsion mechanisms
Physical Sciences →  Engineering →  Aerospace Engineering
Aerospace and Aviation Technology
Physical Sciences →  Engineering →  Aerospace Engineering
Human-Automation Interaction and Safety
Social Sciences →  Psychology →  Social Psychology
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