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High-precision shape approximation low-thrust trajectory optimization method satisfying bi-objective index
作者姓名:Ruiye JIANG  Ming YANG  Songyan WANG  Tao CHAO  Rajan SHANKARAN
作者单位:Control and Simulation Center,Harbin Institute of Technology,Harbin 150080,China;Department of Computing,Macquarie University,Sydney,NSW 2109,Australia
基金项目:supported by the National Natural Science Foundation of China (Nos. 61627810, 61790562 and 61403096);
摘    要:The shape approximation method has been proven to be rapid and practicable in resolving 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 o...

收稿时间:3 September 2020

High-precision shape approximation low-thrust trajectory optimization method satisfying bi-objective index
Ruiye JIANG,Ming YANG,Songyan WANG,Tao CHAO,Rajan SHANKARAN.High-precision shape approximation low-thrust trajectory optimization method satisfying bi-objective index[J].Chinese Journal of Aeronautics,2022,35(1):436-457.
Authors:Ruiye JIANG  Ming YANG  Songyan WANG  Tao CHAO  Rajan SHANKARAN
Institution:1. Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China;2. Department of Computing, Macquarie University, Sydney, NSW 2109, Australia
Abstract: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.
Keywords:Constrained optimization  Intelligent optimization  Low-thrust trajectory  Multi-objective optimiza-tion  Shape approximation method
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