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dc.contributor.authorTang, K.
dc.contributor.authorWang, B.
dc.contributor.authorKang, W.
dc.contributor.authorChen, B.
dc.dateDecember 19 - 21, 2011
dc.date.accessioned2014-06-11T22:46:20Z
dc.date.available2014-06-11T22:46:20Z
dc.date.issued2011-12
dc.identifier.citation2011 9th IEEE International Conference on Control and Automation (ICCA), Santiago, Chile, December 19-21, 2011
dc.identifier.urihttp://hdl.handle.net/10945/42202
dc.description.abstractThis paper focuses on the problem of minimum time trajectory planning for helicopter UAVs. It is formulated as a nonlinear optimal control subject to the dynamics and limitations of helicopter UAVs. The dynamical system is defined by a set of fifteen states nonlinear differential equations developed for HeLion, a UAV helicopter constructed in National University of Singapore (NUS). The problem is then solved numerically using pseudospectral method for dynamic optimization. The results show that minimum time trajectories are highly nonlinear that require complicated maneuvering.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleMinimum Time Control of Helicopter UAVs using Computational Dynamic Optimizationen_US
dc.typeConference Proceedingsen_US
dc.contributor.departmentApplied Mathematics


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