A New Method for Initial Parameters Optimization of Guided Projectiles

Abstract:

A new algorithm was developed for the initial parameters optimization of guided projectiles with multiple constraints. Due to the relationship between the analytical guidance logic and state variables of guided projectiles, the Radau pseudospectral method was used to discretize the differential equations expressed by control variables and state variables with multiple constraints into series algebraic equations, only expressed by state variables. The initial parameter optimization problem was transformed to a nonlinear programming problem, and the sequential quadratic programming algorithm was used to obtain the optimal combinations of initial height and range to target, and make the final velocity of guided projectiles maximum with constraints. Comparing with the appropriate initial conditions solved by Monte Carlo method and the flight characteristics solved by integrating the original differential equations in the optimal initial parameters computed by the new algorithm, the feasibility of new algorithm was validated.

• Periodical: Advanced Materials Research (Volumes 791-793)
• Pages: 1100-1104
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.791-793.1100
• Online since: September 2013
• Authors: Bi Ming Feng, Wan Sheng Nie
• Keywords: Guided Projectiles, Impact Direction Constraint, Parameter Optimization, Pseudospectral

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