Impulse Engine Ignition Algorithm Based on Genetic Particle Swarm Optimization

摘要

The Concerning the problem of near space target intercepting, double-goal optimization model is established in order to maximize the response pace and to minimize the engine consumption at the same time. Impulse engine ignition algorithm based on Genetic Particle Swarm Optimization is presented. The global optimal solution of the optimal problem could be obtained fast by this algorithm. Simulation results indicate that the Ignition control algorithm can obtain high control precision with low engine consumption.