Research on Pole Placement Control Based on EKF Missile Parameter Identification

This paper explores a method for accurately identifying the longitudinal characteristic parameters of a missile using an Extended Kalman Filter (EKF) in the missile guidance system, followed by the application of a pole placement algorithm to optimize the control system. Firstly, the EKF algorithm eliminates observation and system noise to provide high-precision estimation and filtering of the missile's longitudinal motion states (such as position, velocity, and acceleration), thereby accurately understanding the current state of the missile. Subsequently, the pole placement algorithm adjusts the controller parameters according to the desired system dynamic characteristics, optimizing system stability and dynamic performance. This method achieved a remarkable improvement in the missile guidance system's performance, achieving a relative identification error of less than 4%, while ensuring the overload has a rapid rise time without overshoot.