Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design

Space mission planning and spacecraft design are tightly coupled need to be considered together for optimal performance; however, this integrated optimization problem results in a large-scale mixed-integer nonlinear programming (MINLP) problem, which is challenging solve. In response challenge, paper proposes new solution approach based on decomposition-based via augmented Lagrangian coordination. The proposed leverages the unique structure of that enables its decomposition into set subproblems different types: quadratic (MIQP) subproblem planning, one or more (NLP) subproblem(s) design. Because specialized MIQP NLP solvers can applied each subproblem, efficiently solve otherwise intractable MINLP problem. An automatic effective method find an initial iterative also so performed without user-defined guess. demonstration case study shows that, compared state-of-the-art method, formulation converges substantially faster converged at least same better given computational time limit.