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dc.contributor.authorZhou, Jingyang
dc.contributor.authorTeo, Kok Lay
dc.contributor.authorZhou, D.
dc.contributor.authorZhao, G.
dc.date.accessioned2017-01-30T11:15:39Z
dc.date.available2017-01-30T11:15:39Z
dc.date.created2011-03-02T20:01:35Z
dc.date.issued2010
dc.identifier.citationZhou, J.Y. and Teo, K.L. and Zhou, D. and Zhao, G.H. 2010. Optimal Guidance for Lunar Module Soft Landing. Nonlinear Dynamics and Systems Theory. 10 (2): pp. 189-201.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/9905
dc.description.abstract

In this paper, we consider an optimal control problem arising from the optimal guidance of a lunar module to achieving soft landing, where the description of the system dynamics is in a three-dimensional coordinate system. Our aim is to construct an optimal guidance law to realize the soft landing of the lunar module with the terminal attitude of the module to be within a small deviation from being vertical with respect to lunar surface, such that the fuel consumption and the terminal time are minimized. The optimal control problem is solved by applying the control parameterization technique and a time scaling transform. In this way, the optimal guidance law and the corresponding optimal descent trajectory are obtained. We then move on to consider an optimal trajectory tracking problem, where a desired trajectory is tracked such that the fuel consumption and the minimum time are minimized. This optimal tracking problem is solved using the same approach to the first optimal control problem. Numerical simulations demonstrate that the approach proposed is highly efficient.

dc.publisherInforMath publishing group
dc.subjectoptimal control with bounds on control and terminal states
dc.subjectoptimal guidance law
dc.subjectoptimal trajectory tracking
dc.subjectsoft landing
dc.subjecttime scaling trans-form
dc.subjectcontrol parameterization
dc.subjectlunar module
dc.titleOptimal Guidance for Lunar Module Soft Landing
dc.typeJournal Article
dcterms.source.volume10
dcterms.source.startPage189
dcterms.source.endPage201
dcterms.source.issn15628353
dcterms.source.titleNonlinear Dynamics and systems theory
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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