典型文献
Robust optimization of control command for aerospace vehicles with aerodynamic uncertainty
文献摘要：
To reduce the design burden of Aerospace Vehicles(ASVs)control systems,this paper proposes a multi-constrained robust trajectory optimization method,which provides a good front-end input for the control system.Differ from the conventional aircraft,some control perfor-mance of ASVs is not only related to the model parameters,but also affected by the flight status.Therefore,the robust optimization method combines this characteristic of ASVs,sets the control performance as one of the optimization objectives,and considers the influence of parameter uncer-tainty.In this method,the polynomial chaos expansion algorithm is used to transform the trajec-tory optimization problem with uncertain parameters into the equivalent deterministic robust trajectory optimization problem.Finally,compared with traditional deterministic trajectory opti-mization methods to illustrate the effectiveness of proposed control optimization method.
文献关键词：
中图分类号：
作者姓名：
Rui CAO;Yanbin LIU;Yuping LU
作者机构：
College of Automated Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
文献出处：
引用格式：
[1]Rui CAO;Yanbin LIU;Yuping LU-.Robust optimization of control command for aerospace vehicles with aerodynamic uncertainty)[J].中国航空学报（英文版）,2022(12):226-241
A类：
B类：
Robust,optimization,control,command,aerospace,vehicles,aerodynamic,uncertainty,To,reduce,design,burden,Aerospace,Vehicles,ASVs,systems,this,paper,proposes,multi,constrained,robust,trajectory,which,provides,good,front,end,input,Differ,from,conventional,aircraft,some,not,only,related,model,parameters,but,also,affected,by,flight,status,Therefore,combines,characteristic,sets,performance,as,one,objectives,considers,influence,In,polynomial,chaos,expansion,algorithm,used,transform,problem,into,equivalent,deterministic,Finally,compared,traditional,methods,illustrate,effectiveness,proposed
AB值：
0.577023
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