MIDCOURSE GUIDANCE A PROJECTILE OPTIMIZATION USING PARTICLE SWARM ALGORITHM

In this paper, the problem of guidance in the mid-course of a projectile’s flight has been addressed to meet the requirements and limitations of the homing phase. These requirements and constraints are usually for low cost systems that are required to increase their range, including the angle of priority (angle of view) and the flight path angle (the angle of impact) of the projectile along with the amount of control effort obtained in the mid-course. Obviously, if these requirements are met, the success of the projectile mission will increase. Therefore, considering the importance of the problem and despite the various and scattered works that have been done so far, in this research, first the mid-course guidance optimization problem of the projectile based on a performance function consisting of the control effort criterion, and also the final values ​​of view angle and flight angle in the mid-course is defined as the penalty functions, respectively. Then, using the particle swarm optimization algorithm, optimal acceleration commands are generated. The simulation results compared with other methods show the proper functioning of the algorithm and its ability to solve more complex models.