Attitude control for bank-to-turn missiles based on human-imitating intelligent control

Based on the human-imitating control, a nonlinear attitude control law for bank-to-turn (BTT) missiles was proposed. The problem of BTT missiles attitude control can be decomposed into several primitive problems by generalized reduction, which can be easily resolved. Then, according to the importance of the primitive problems and the coupling relationship among them, the structure of a nonlinear control law can be given by analyzing the flight dynamic model of the missiles. Finally, the quantitive control law is optimized using the genetic algorithm. The present control is suitable for the attitude control for BTT missiles which are characteristic of high-maneuvering, system nonlinearities and strong coupling. The control law can guarantee the accurate tracking performance of the system while the missile is turning, and besides it can restrain the sideslip efficiently. The simulation results show that the present control law is effective.