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摘要
This paper describes a method for handling restricted airspace in trajectory optimization problems while maintaining the full dynamics of the aircraft model. The discussion is limited to the local solution of the optimization problem. The topological problem of determining which side of the restricted regions the aircraft trajectory should take can be seen as more of a preprocessing stage that determines, for example, the shortest path. The trajectory optimization is performed with environmental objective functions describing the emissions from the aircraft engine. Results from two cases are presented. The first case is flying in the vicinity of an airport during the approach and avoiding flying directly above urban areas. The second case involves a long-distance flight with a large region of restricted airspace in the way. Both cases are performed with a model of the Swedish Air Force trainer SK60. The results show that the solution and the solution time significantly depend on the initial starting guess. With a feasible starting guess, the efficiency of the optimization algorithm is not too degraded by the nonconvex airspace constraints.
- 出版日期2010-8
