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Trajectory Planning For Cruise Missile In Three-dimensional Space

Posted on:2011-10-29Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q YangFull Text:PDF
GTID:2132360308452316Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The high survival and high-precision strike capability of the Cruise Missiles depend on the support of mission planning system. Increasing the survival probability of cruise missiles and the efficiency of trajectory planning is of great significance to enhance the combat capability.According to the problem of complex requirements, large searching space and low efficiency of trajectory planning of cruise missile in three-dimensional space, the efficiency and feasibility by rationally handling the constraints and cutting the searching space are improved in this thesis. The main work includes:(1) Design the Optimization Object Function. The optimization object function of survival probability is transferred based on the results of equivalence research, thus the maximum problem of survival probability and the minimization problem of trajectory length can be integrated into one.(2) Handle the constraints and strategized generating of the searching space. By defining the concept of allowed consecutive points, the consideration of terrain and the constraints are combined with the searching algorithm to make the trajectory more rational and to make the searching more efficiently.(3) Develop the key algorithm of searching trajectory. A new algorithm called MMASAT(Max-Min Ant System with Adaptive Threshold) based on the ACS(Ant Colony System)and MMAS(Max-Min Ant System) is proposed, which optimized the process of searching the trajectory by utilizing the advantages of Ant Algorithm but avoiding its shortcomings. Finally, some simulation analysis is made which shows that the method of trajectory planning in this thesis is applicable and acceptable.
Keywords/Search Tags:Cruise Missile, Trajectory planning in Three-Dimensional Space, Optimization Object Function, constraints handling, Searching Space, Ant Colony Algorithm
PDF Full Text Request
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