Optimal Control Design for Maneuverable Aircraft Using Population-based Algorithms

Abstract The report outlines the algorithmic and methodological approaches to solving the problem of the optimal program control design for the maneuverable aircraft. An object model convenient for generating program control is shown. This paper demonstrates possibility of solving considered problem using direct method, involving cubic Hermite splines and a population-based optimization algorithm for generating control signals. This report also compares proposed direct method with classic approaches to optimal control.