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Research On Active Disturbance Rejection Control Strategy Of Fast-Steering Mirror Closed Loop System

Posted on:2013-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:G Y QiaoFull Text:PDF
GTID:2268330398990618Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
The fast tracking ability and accuracy of Theodolite tracking system put forward higher request along with the enhancement of the target maneuvering performance, the tracking error of the master system, the wind resistance torque, foundation stability, frame stiffness and movement, atmospheric turbulence and interference caused by the optical axis jitter. In this context, the compound axis control system arises at the historic moment.In the fine tracking subsystem, it is rapid speed of fast steering mirror response and small action range that make its position and velocity measurement become more difficult problems.With the development of Theodolite tracking technology, the target tracking requirement of accuracy and rapidity is also higher and higher.In order to improve the control performance further,it needs to make the fast steering mirror speed information measured or extraction, and explore new control method.This paper makes fast steering mirror closed loop control system of the fine tracking subsystem as the research object, do the research from theoretical analysis, numerical simulation and experiment aspects and achieve fast steering mirror position and speed closed loop control successfully.This paper establishes the simulation of system and mathematical model. It carries out the research and analysis on the auto-disturbances-rejection control strategy of three important theory, that is TD theory, ESO theory and NLSEF theory.The good performance of TD in transition process arrangement and filtering has verified in this paper.In addition, TD can also extract differential signal accurately. It is proved that the ESO in observation system state and real-time estimation system comprehensive disturbance powerful ability. The demonstration that NLSEF has more effectively compared with linear feedback is presented. And then the paper studied the influence of parameters of auto-disturbances-rejection controller, and the basic rules of ADRC parameter setment and put forward a method to optimize the parameters of nonlinear state error feedback control law by using RBF network.Finally, auto-disturbances-rejection controller structure based on the RBF network was designed and the simulation experiments are performed.This paper designs a fast steering mirror digital controller and realizes the ADRC speed closed loop control with position, speed and all kinds of disturbance and uncertain factors observated by ESO. By comparing the traditional control method, ADRC makes the system rapidity and tracking accuracy improved obviously.To sum up, this paper makes the thorough theoretical and experimental research on the closed-loop of fast steering mirror system auto-disturbances-rejection control strategy. The result has been proved the effectiveness and feasibility of the proposed control schemes.
Keywords/Search Tags:fast-steering mirror, Active Disturbance Rejection Control (ADRC), Extended StateObserver (ESO), RBF neural network, velocity measured
PDF Full Text Request
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