Research On Stabilization And Tracking Control Technology Of Shipborne Antenna Stabilization Platform

The carrier is disturbed by the influence of the heading,the impact of the waves,the sea breeze and so on.Based on the antenna mounted on the carrier platform,the antenna sight line shakes due to the hull movement,which cannot guarantee the high precision tracking and control of the moving target.The stability of the platform can isolate the disturbance caused by the movement of the carrier in time,constantly measure the change of the attitude and position of the platform,and ensure the stability of the platform relative to the inertial space,so that the carrier-based equipment can accurately track the moving target in the sea movement,an important part of shipborne,vehicle and other weapons.With the improvement of the response speed and control precision of the platform,the traditional control method cannot meet a series of control requirements.The adaptive inverse control controls the inverse of the controlled object as the controller for open-loop control,which avoids the instability of the system caused by the introduced feedback,and separating the dynamic characteristic control and disturbance cancellation control of the control system independently is the most significant characteristic of inverse control,the adaptive inverse control method is adopted to improve the response speed and stability of the system,and the main research results are as follows:Firstly,this paper briefly introduces the developing situation of the stable platform control system,and the mechanical and electrical structure and dynamic mathematical modeling of the shipborne antenna are analyzed.The mathematical equations of the hull angular motion are deduced.This paper analyzes the current situation of the control strategy of the platform,and the adaptive response and stability of the system are improved by adaptive inverse control.Secondly,the basic principles of adaptive inverse control,adaptive inverse control modeling theory and functional link neural network(FLNN)are discussed.On the basis of FLNN,a dynamic FLNN is constructed by using latency correlation,and proposes a dynamic FLNN to implement the adaptive inverse control system object,the inverse object of the online modeling structure and the inverse controller of the offline modeling structure to complete the shipborne antenna stabilization platform adaptive inverse control dynamic system object model,inverse object model and controller.Then the identification is regarded as the optimization of the weights of the neural network,and the particle swarm optimization algorithm can be used to optimize.However,the shortcomings of the PSO and the slow convergence of the latter will affect the optimization of the neural network weights.Based on the variable parameter chaotic particle swarm optimization(PSO)algorithm,an adaptive inverse control system identification method based on variable parameter chaotic particle swarm optimization algorithm for dynamic function connection neural network is proposed.By using the Lyapunov theorem,the stability of the adaptive inverse control of the function-connected neural network is analyzed in detail.Finally,the simulation of adaptive inverse control system based on dynamic FLNN is carried out.The experiment proves that the objects identified by dynamic FLNN,the inverse object and the inverse of the inverse inverse control system are analyzed in order to ensure the convergence of the adaptive inverse control system of the connected neural network.The inverse controller has high accuracy and achieves a good disturbance cancellation effect.Finally,the control scheme proposed in this paper is experimented on the AE antenna turntable and the satisfactory results are obtained.The validity as well as reliability of the proposed control scheme are proved.