Application of robust optimization to selection of missile initial control points

To meet the requirements of missile guidance system for the dispersion of initial control points, the robust optimization concepts and methods were introduced to analyze the influence of various disturbance factors on the dispersion of initial control points and determine the optimal values of the initial control distance or time and related overall parameters. A Gaussian radial basis network(GRBN) with initial control point parameters as the outputs was constructed for the missile disturbance motion system by an appropriate design of experiment method, and analytical formulas of uncertainty analysis were derived from the GRBN. Take the anti-tank missile for instance, the robust optimization model about initial control points was built, and the niched Pareto genetic algorithm for multi-objective optimization was adopted to acquire the Pareto optimal set. Simulation results indicate that this method is effective, and it can offer reference for designing trajectory.