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Stability-based motion planning for a modular morphing wing

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Aircraft wing geometry morphing is a technology that has seen recent interest due to demand for aircraft to improve aerodynamic performance for fuel saving. One proposed idea to alter wing geometry is by a modular morphing wing designed through a discretization method and constructed using variable geometry truss mechanisms (VGTM). For each morphing maneuver, there are sixteen possible actuation paths for each VGTM module, and thus offering a three module morphing wing to have a total of 16(to the power of 3) permutations of actuation paths for one morphing maneuver. Focused on longitudinal static stability, critical parameters and aircraft stability theory, this thesis proposes a method to find an optimal actuation path for a designated maneuver iteratively. A case study of a three module morphing wing demonstrated the actuation path selection process. Numerically, different actuation paths had different levels of longitudinal static stability; these paths were drawn in CATIA and were visually verified.
Ryerson University Library and Archives
Title: Stability-based motion planning for a modular morphing wing
Description:
Aircraft wing geometry morphing is a technology that has seen recent interest due to demand for aircraft to improve aerodynamic performance for fuel saving.
One proposed idea to alter wing geometry is by a modular morphing wing designed through a discretization method and constructed using variable geometry truss mechanisms (VGTM).
For each morphing maneuver, there are sixteen possible actuation paths for each VGTM module, and thus offering a three module morphing wing to have a total of 16(to the power of 3) permutations of actuation paths for one morphing maneuver.
Focused on longitudinal static stability, critical parameters and aircraft stability theory, this thesis proposes a method to find an optimal actuation path for a designated maneuver iteratively.
A case study of a three module morphing wing demonstrated the actuation path selection process.
Numerically, different actuation paths had different levels of longitudinal static stability; these paths were drawn in CATIA and were visually verified.

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