典型文献
High-precision shape approximation low-thrust trajectory optimization method satisfying bi-objective index
文献摘要：
The shape approximation method has been proven to be rapid and practicable in resolv-ing low-thrust trajectory;however,it still faces the challenges of large deviation from the optimal solution and inability to satisfy the specific flight time and fuel mass constraints.In this paper,a modified shape approximation low-thrust model is presented,and a novel constrained optimization algorithm is developed to solve this problem.The proposed method aims at settling the bi-objective optimization orbit involving the twin objectives of minimum flight time and low fuel consumption and enhancing the accuracy of optimized orbit.In particular,a transformed high-order polynomial model based on finite Fourier series is proposed,which can be characterized as a multi-constraint optimization problem.Then,a novel optimization algorithm is specifically developed to optimize the large-scale multi-constraint dynamical equations of shape trajectory.The key performance indi-cators of the index include minimum flight time,low fuel consumption and bi-objective optimiza-tion of the two.Simulation results prove that this approach possesses both the high precision achievable by numerical methods and low computational complexity offered by shape approxima-tion techniques.Besides,the Pareto front of the fuel-time bi-objective optimization orbit is firstly introduced to analyze an intact optimal solution set.Furthermore,we have demonstrated that our proposed approach is appropriate to generate the preliminary orbit for pseudo-spectral method.
文献关键词：
中图分类号：
作者姓名：
Ruiye JIANG;Ming YANG;Songyan WANG;Tao CHAO;Rajan SHANKARAN
作者机构：
Control and Simulation Center,Harbin Institute of Technology,Harbin 150080,China;Department of Computing,Macquarie University,Sydney,NSW 2109,Australia
文献出处：
引用格式：
[1]Ruiye JIANG;Ming YANG;Songyan WANG;Tao CHAO;Rajan SHANKARAN-.High-precision shape approximation low-thrust trajectory optimization method satisfying bi-objective index)[J].中国航空学报（英文版）,2022(01):436-457
A类：
resolv
B类：
High,precision,shape,approximation,low,thrust,trajectory,optimization,satisfying,has,been,proven,rapid,practicable,however,still,faces,challenges,large,deviation,from,optimal,solution,inability,flight,fuel,mass,constraints,In,this,paper,modified,model,presented,novel,constrained,algorithm,developed,solve,problem,proposed,aims,settling,orbit,involving,twin,objectives,minimum,consumption,enhancing,accuracy,optimized,particular,transformed,high,order,polynomial,finite,Fourier,series,which,can,characterized,multi,Then,specifically,scale,dynamical,equations,key,performance,indi,cators,include,two,Simulation,results,that,approach,possesses,both,achievable,by,numerical,methods,computational,complexity,offered,techniques,Besides,Pareto,front,firstly,introduced,analyze,intact,Furthermore,have,demonstrated,appropriate,generate,preliminary,pseudo,spectral
AB值：
0.496529
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