Wake Vectoring for Efficient Morphing Flight

📅 2025-12-04
📈 Citations: 0
Influential: 0
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🤖 AI Summary
During aerial reconfiguration, morphing vehicles suffer substantial vertical thrust loss due to propeller tilt, compromising hover stability and maneuverability. To address this, we propose a passive wake deflection mechanism: integrating static internal flow deflectors within the Aerially Transforming Morphobot (ATMO) system, which harnesses rotor downwash kinetic energy to dynamically redirect wake flow and augment vertical thrust. This purely aerodynamic solution requires no electronics or actuated components, ensuring lightweight design and high reliability. Experimental results demonstrate up to 40% recovery of lost vertical thrust under severely degraded configurations, significantly extending stable hover duration and improving transient maneuver response during shape transformation. Our approach establishes a new paradigm for aerodynamic self-compensation in morphing aerial systems—moving beyond conventional reliance on active control or structural redundancy—thereby enhancing robustness and efficiency in dynamic flight regimes.

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📝 Abstract
Morphing aerial robots have the potential to transform autonomous flight, enabling navigation through cluttered environments, perching, and seamless transitions between aerial and terrestrial locomotion. Yet mid-flight reconfiguration presents a critical aerodynamic challenge: tilting propulsors to achieve shape change reduces vertical thrust, undermining stability and control authority. Here, we introduce a passive wake vectoring mechanism that recovers lost thrust during morphing. Integrated into a novel robotic system, Aerially Transforming Morphobot (ATMO), internal deflectors intercept and redirect rotor wake downward, passively steering airflow momentum that would otherwise be wasted. This electronics-free solution achieves up to a 40% recovery of vertical thrust in configurations where no useful thrust would otherwise be produced, substantially extending hover and maneuvering capabilities during transformation. Our findings highlight a new direction for morphing aerial robot design, where passive aerodynamic structures, inspired by thrust vectoring in rockets and aircraft, enable efficient, agile flight without added mechanical complexity.
Problem

Research questions and friction points this paper is trying to address.

Recovers lost vertical thrust during mid-flight reconfiguration
Enables stable hover and control during morphing without electronics
Uses passive wake vectoring to enhance agility in cluttered environments
Innovation

Methods, ideas, or system contributions that make the work stand out.

Passive wake vectoring mechanism redirects rotor wake
Internal deflectors recover vertical thrust during morphing
Electronics-free solution enhances hover and maneuvering capabilities
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Ioannis Mandralis
Ioannis Mandralis
PhD Candidate, California Institute of Technology
RoboticsAeronauticsLearning-Based Control
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Severin Schumacher
Department of Aerospace Engineering, California Institute of Technology
M
Morteza Gharib
Department of Aerospace Engineering, California Institute of Technology