An Optimized Algorithm for Combined Control Based on Interceptor in Aerosphere

An improved genetic algorithm is presented for the combined control based on the interceptor in aerosphere. A method for controlling the lateral thrust is presented. Non-linear ranking selection, improved crossover operation and non-uniform mutation operation are also adopted to improve the simple genetic algorithm, and this improved genetic algorithm is used to optimize the quantity of used pulse motors. The simulation results show that this improved genetic algorithm quickens the convergence speed, tracks the control command of the lateral thrust exactly, heightens reliability, has satisfying control precision and preferable global optimization performance, and reduces the quantity of used pulse motors, which shows the validity and advantage of this improved genetic algorithm.