Prof. Zhanxia Zhu, Mr. Hongqing Liu, Prof. Yuan Jianping

DOI Number XXX-YYY-ZZZ

Conference Number HiSST 2018_1600874

Hypersonic vehicles have large advantages in flight speed,defense penetration and flight range,as well as the good prospects in military and civilian aspects.Therefore, hypersonictechnology has been developed rapidly in recent years, and become the focus of researchgradually.The trajectory optimization technique as a key of hypersonic technology has also beenconcerned widely.However,the complex environment of reentry process and the dramatic changes in atmosphere bring about many challenges in optimization process.Therefore, a more effectivealgorithm is very necessary to reentry trajectory optimization.Aiming at the establishment of multi-target reentry trajectory optimization model of hypersonic vehicle, this dissertation carries out the following research contents: For reentry trajectory optimization problem with multiple objectives and priority,the direct collocation method is adopted to transform motion equations into algebraic constraints,and thevarying domain multi-objective optimization algorithm is also introduced to establish theoptimizationmodel.Firstly,theoriginal problem is transformed into a nonlinear multi-objectiveprogramming with priorities using direct collocation approach.Then,the objectives are fuzzifiedinto fuzzy goals,and the constant tolerance of each objective is substituted by the varyingdomain.According to the principle that the objective with higher priority has higher satisfactorydegree,the priority order is modeled as the order constraints of the varying domain.Thecorresponding two-side,single-side and hybrid-side varying domain models are presented for different fuzzy relations respectively.By regulating the parameter,optimal reentry trajectorysatisfying priority requirement can be achieved.The effectiveness and advantage of the proposedmethod are verified by simulation.

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In Categories: Guidance & Control Systems, HiSST 2018, Hypersonic Aerodynamics, Hypersonic Flight Dynamics, Operations and Environment
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