Control System Optimization Design and Simulation for BBT Missile Based on Kriging Meta-model

Abstract

The backstepping design method has been used to design the control system of the Bank-to-turn (BTT) missile, which depends on the designer’s personal experience and a large number of complicated iterative calculation, and needs to consume a lot of time throughout the design process. To solve this problem, a missile control system surrogate model is established by using Kriging meta-model. After establishing the surrogate model, the genetic algorithm is applied to the control system optimal solution. The proposed method can obtain a set of control parameters that minimizes the performance function by searching the given control parameters space. The simulation results show that the method can reduce the amount of calculations and achieve the desired control parameters effectively.