Abstract:

Trajectory design of the missileborne SAR platform is the basis of the SAR imaging algorithm research. In order to decrease missile attacking time while satisfying the SAR imaging conditions, the SAR imaging seeker’s trajectory needs to be optimized. This problem belongs to the nonlinear optimal control problem, and the sequential quadratic programming (SQP) optimization algorithm is used to slove it. Firstly, a 3D trajectory optimization model of the SAR imaging seeker is constructed. The contraints include the  SAR imaging constraint, be overload contraint and the attitude contraint. Furthermore, the original optimal control problem is transformed into a nonlinear programming problem, and then it is solved by the SQP algorithm. The more discreted nodes are, the biger the nonlinear programming problem scale is and the longer the solving time is. The simulation results show that, the SQP algorithm can effectively solve the trajectory optimization of the SAR seeker, and its solution satisfies all the model constraints.

Key words: SAR imaging;seeker;SQP;trajectory optimization