Parameterized Differential Dynamic Programming RSS Presentation
Explore the source record for details and available documents.
Engineering topics
Publications and source records attributed to Matthew D. Houghton.
Explore the source record for details and available documents.
Contingency management is the most challenging aspect of autonomous flight. In order to accommodate the most flexible response to unpredicted events and unexpected circumstances, i.e. contingencies, a new integrated path planning, trajectory following, flight control architecture is required that would maximize the safe operating envelope. For this highly integrated generalized control architecture, a new set of performance metrics that extends beyond traditional stability and performance is required. This paper proposes a candidate set of new performance metrics relevant to urban air mobility mission scenarios.
Contingency management is the most challenging aspect of autonomous flight. In order to accommodate the most flexible response to unpredicted events and unexpected circumstances, i.e. contingencies, a new integrated path planning, trajectory following, flight control architecture is required that would maximize the safe operating envelope. For this highly integrated generalized control architecture, a new set of performance metrics that extends beyond traditional stability and performance is required. This paper proposes a candidate set of new performance metrics relevant to urban air mobility mission scenarios.
Presentation as part of a AIAA SciTech conference GNC Workshop. The presentation discusses parameterized differential dynamic programming algorithm and its application in the context of urban air mobility and autonomous flight.