Robust Guidance Law Optimization for a Smart Projectile

In this paper, a sliding mode guidance (SMG) law for a smart projectile with its optimization is presented. Due to the importance of acceleration of maneuvering targets due to their complex and inaccessible nature, an estimated upper bound of the target acceleration is considered as a disturbance in the formulation of the proposed law. Moreover, in order to obtain intercepting the target in a finite time of flight, a new definition of the sliding surface is presented as the relative distance between the projectile and the target multiplied by the line of sight (LOS) angular rate. In order to increase the efficiency of the interception, the design parameters of the proposed law are optimized based on a multi-objective genetic algorithm (MOGA) using an objective function with a combination of the control effort, the miss distance and the time of flight criteria. Therefore, the proposed robust guidance law has the optimality properties. The simulation results are caused to decrease miss distance, decrease control effort, and decrease the time of flight, which indicates the effectiveness and accuracy of the proposed law compared to other corresponding methods.