Vehicle noise remains one of the major barriers to public acceptance of Urban Air Mobility class aircraft. This work focuses on motion planning for aircraft in noise-sensitive areas. A nonlinear Model Predictive Path Integral (MPPI) control law is used to generate a finite horizon trajectory that satisfies acoustic level constraints at a set of (three-dimensional) observer locations. The MPPI framework places no restrictions on the class of state-dependent cost functionals that can be employed, making it well-suited for use with sophisticated acoustic models and metrics, in addition to dynamic and mission-relevant constraints. The model predictive control architecture is also suitable for implementation in a real-time application. A simulation example demonstrates the ability of the controller to modify the flight trajectory in order to satisfy acoustic constraints at multiple measurement locations.
A Model Predictive Control Approach for In-Flight Acoustic Constraint Compliance
AIAA SciTech Forum ; 2021 ; Virtual, US
Aufsatz (Konferenz)
Keine Angabe
Englisch
Formation Flight Control Using Model Predictive Approach
British Library Conference Proceedings | 2009
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