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High-precision shape approximation low-thrust trajectory optimization method satisfying bi-objective index

Chinese Journal of Aeronautics 2022年第1期35卷 436-457页

作者： Ruiye JIANG Ming YANG Songyan WANG Tao CHAO Rajan SHANKARAN Control and Simulation Center Harbin Institute of TechnologyHarbin 150080China Department of Computing Macquarie UniversitySydneyNSW 2109Australia

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 *** this paper,a modified shape approximation low-thrust model is presented,and a novel constrained optimization algorithm is developed to solve this *** 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 *** particular,a transformed high-order polynomial model based on finite Fourier series is proposed,which can be characterized as a multi-constraint optimization ***,a novel optimization algorithm is specifically developed to optimize the large-scale multi-constraint dynamical equations of shape *** key performance indicators of the index include minimum flight time,low fuel consumption and bi-objective optimization of the *** results prove that this approach possesses both the high precision achievable by numerical methods and low computational complexity offered by shape approximation ***,the Pareto front of the fuel-time bi-objective optimization orbit is firstly introduced to analyze an intact optimal solution ***,we have demonstrated that our proposed approach is appropriate to generate the preliminary orbit for pseudo-spectral method.

关键词： Constrained optimization Intelligent optimization Low-thrust trajectory Multi-objective optimization shape approximation method

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