A CONTROL ALGORITHM FOR SPIN-STABILIZED PROJECTILES BASED ON MODEL PREDICTION AND ATTITUDE COMPENSATION

Aiming at the problems of low trajectory control accuracy caused by high rolling speed of rotary stabilized projectile, such as strong aerodynamic and dynamic coupling of pitch, yaw and roll channels, high model nonlinearity and uncertainty, and insufficient maneuverability, this paper proposes a method combining model prediction method with control angle compensation and prediction error estimation. In this control algorithm, the model prediction method whose prediction error is estimated in the free flight duration is proposed to increasing the prediction accuracy and improve the control efficiency. Moreover,to cope with modeling and control system errors, an compensation angle is deduced by comparing the actual attitude angle of the projectile in the control state with the attitude angle predicted by the model in the control period. The feasibility and effectiveness of the model prediction controller with angular compensation is verified through closed-loop flight simulations with measurement, control, and condition uncertainties, and it is compared with the traditional model prediction control algorithm. The results indicate that the designed controller can evidently decrease the distance between the impact point and target under different uncertainties.