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Banking Turn of High-DOF Dynamic Morphing Wing Flight by Shifting Structure Response Using Optimization
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The 3D flight control of a flapping wing robot is a very challenging problem. The robot stabilizes and controls its pose through the aerodynamic forces acting on the wing membrane which has complex dynamics and it is difficult to develop a control method to interact with such a complex system. Bats, in particular, are capable of performing highly agile aerial maneuvers such as tight banking and bounding flight solely using their highly flexible wings. In this work, we develop a control method for a bio-inspired bat robot, the Aerobat, using small low-powered actuators to manipulate the flapping gait and the resulting aerodynamic forces. We implemented a controller based on collocation approach to track a desired roll and perform a banking maneuver to be used in a trajectory tracking controller. This controller is implemented in a simulation to show its performance and feasibility.
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Cited by 1 Pith paper
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Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots
A PPO-trained policy tracks aerobatic 3D trajectories for a simulated bird-inspired flapping-wing robot, with stability argued from a fitted linear model rather than a formal proof.
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