Optimum dynamic navigation ratio for launch vehicles using Genetic Algorithm

This paper is devoted to demonstrate a Genetic Algorithm optimization of a dynamic navigation ratio for launch vehicles target scenario. This optimization provides a bounded target interception under six degrees of freedom control and minimum-effort-miss distance to improve the intercepting accuracy of launch vehicles. This optimization is performed for two guidance laws, the proportional navigation and the differential geometry under influence of target heading, altitude and target maneuvering capabilities. The results show that the optimized dynamic navigation ratio achieves a significant improvement for the miss distance over the previous fixed navigation ratio. The maximum achieved improvement factor is 22 dB for the proportional navigation guidance and 21 dB for the differential geometry.