Satellite bus truss structure optimization using radial basis function

In order to reduce computational cost during satellite bus structure optimization and satisfy the global convergence, the radial basis function is applied to dealling with structure optimization. As the truss structure optimization involves size, topology and geometry variables, continuous relaxation is used to treat discrete variables. Furthermore, the Lagrangian multiple method is applied to converting a constrained optimization problem to an equivalent unconstrained optimization problem with bound constraint. Then the radial basis function is used to approximate the Lagrangian function, and the optimum is obtained through using global optimization strategy for the approximated model. During the satellite bus structure optimization process, the parameter of Lagrange function and radial basis are updated until the process searches a feasible optimum. Finally, the proposed strategy is applied to a practical satellite bus truss structure, thus demonstrating the high efficiency.