Iterative model and trajectory refinement for orbital trajectory optimization

作者：Hudson Jennifer^*; Gupta Rohit; Li Nan; Kolmanovsky Ilya

来源：Optimal Control Applications and Methods, 2017, 38(6): 1132-1147.

DOI：10.1002/oca.2319

• iterative
• numerical methods
• optimal control
• orbital trajectory optimization

An iterative model and trajectory refinement (IMTR) strategy is proposed for trajectory optimization of nonlinear systems. A high- and a low-fidelity models are used. The high-fidelity model accurately represents the system but is not easily amenable to trajectory optimization, because of degree of nonlinearity, computational cost, or to being of black-box type. The low-fidelity model is suitable for numerical optimization but approximates the system dynamics with an error. The IMTR method is proposed to systematically iterate between the 2 models and efficiently converge on a control solution. Examples are drawn from orbital mechanics. The IMTR approach is compared to optimal nonlinear quadratic control using Pontryagin maximum principle. A convergence criterion for the IMTR iterations is established.

• 出版日期2017-12