Reducing the Fluctuations of the Pitch Angle of a Dual-Spin Projectile Using State Machine and Particle Swarm Optimization Algorithm

Today,with the advancement of technology and the emergence of smart weapons, the weapons of the past have practically lost their effectiveness. Therefore, we should look for a solution so that we can make them smart and bring them back to the battlefield without making many changes in the structure of the past ammunitions and prevent the destruction of national assets. In this regard,the idea of the guiding head has been proposed, which is known as the path correction fuse. This fuse is made separately and is installed in a two-wheeled manner on the cannon balls and mortars and takes charge of projectile guidance. An important challenge in common guidance algorithms for these fuses, due to the type of actuator, is the fluctuations of the end moments of the projectile flight. In this article, an innovative solution is presented to solve this important challenge, in this idea, a state machine is used to solve the performance problem of the PN guidance algorithm. The design parameters of the control, guidance and state machine parts have been calculated using the particle swarm optimization method with the fitness function, which includes the rate of elevation angle fluctuations (to eliminate the problem of elevation angle fluctuations) and the collision error rate. To validate the algorithm, Monte Carlo simulation has been performed. The simulation result shows that the proposed algorithm can reduce the CEP value of the projectile by three meters and at the same time the elevation angle does not fluctuate in the final moments.