High Precision Stabilized Platform System Of Shipborne Laser Weapons

In recent years,shipborne laser weapons system as a major issue of military laser system engineering has aroused extensive attention from various countries. For laser weapons can destroy targets,laser beam must stably point at and track the mobile targets.The use of laser weapons on the ground isn't difficulty,but when laser weapons are on moving vehicle,stable base must be provided in order to isolate swing motion of the moving vehicle.Stabilized platform technology is to research high precision stabilized platform system.According to the demand of high precision stabilized platform of shipborne laser weapons,combining two-stage stabilized platform scheme is designed. Coarse stage stabilized platform is an inertially stabilized platform including a two-degree-of-freedom gyro and two accelerometers,and two stabilized loops (servo systems) control the rotation of platform axes and isolate swing of the ship. Precise stage stabilized platform includes rate gyroscope,electromechanical servo drive and velocity feedback.Coarse stage stabilized platform adopts a two-axis gyro stabilized platform. Working principle and differential equations of motion are analyzed.Error models of static base and moving base are analyzed,and compensation methods are given.Stabilized loop of two-axis gyro stabilized platform is analyzed and designed. Performance index and structure of platform are given.Mathematical model of servo control loop based on brushless direct current motor is established. Double-loop control method is designed.Simulation study is carried out to verify the performances of controller.The simulation results show that the control method meet the system performance requirements.According to the mathematical model of control stabilization loop and the characteristics of operating conditions of stabilized platform,single neuron PID model reference adaptive control strategy based on RBF(Radial Basis Function) neural network identification is introduced;stabilized platform of shipborne weapons was designed;and algorithms of single neuron controller and RBF network identification are given.The simulation results show that the method not only.enhances the fast tracking performance,but also has stronger robustness.