{"title":"State Model Construction Method for Fast Steering Mirror and Its Control System Design","authors":"Zhiwei Ai, Jianbo Ji, LI ,, Jing , Huang","doi":"10.3724/sp.j.7100840884","DOIUrl":null,"url":null,"abstract":": To reduce structural parameters needed in the process of the state space modeling of a fast steering mirror (FSM), a modeling method based on system identification is proposed. Only two structural parameters, namely, coil resistance and inductance, are needed when using this modeling method. Based on the state model, a set of combined control systems consisting of a reduced-order observer, state feedback, an internal model, and a stabilization compensator were designed; the internal model and stabilization compensator were designed by using state feedback. Furthermore, current and angular velocity can be obtained using a reduced-order observer. The combined system can progressively track of input signals and suppress disturbances; the simulation model was built using SIMULINK. The simulation results show that, compared with the incomplete differential proportional integral derivative (PID) control system, the setting time decreases by 53.6% and the overshoot increases by 131.2% without considering the disturbance in the composite system. The dynamic and steady-state performance of the incomplete differential PID control system decreases significantly after adding the disturbance signal, while the composite system is maintained. The simulation results verify the correctness of the theoretical analysis.","PeriodicalId":64126,"journal":{"name":"红外技术","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"红外技术","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.3724/sp.j.7100840884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: To reduce structural parameters needed in the process of the state space modeling of a fast steering mirror (FSM), a modeling method based on system identification is proposed. Only two structural parameters, namely, coil resistance and inductance, are needed when using this modeling method. Based on the state model, a set of combined control systems consisting of a reduced-order observer, state feedback, an internal model, and a stabilization compensator were designed; the internal model and stabilization compensator were designed by using state feedback. Furthermore, current and angular velocity can be obtained using a reduced-order observer. The combined system can progressively track of input signals and suppress disturbances; the simulation model was built using SIMULINK. The simulation results show that, compared with the incomplete differential proportional integral derivative (PID) control system, the setting time decreases by 53.6% and the overshoot increases by 131.2% without considering the disturbance in the composite system. The dynamic and steady-state performance of the incomplete differential PID control system decreases significantly after adding the disturbance signal, while the composite system is maintained. The simulation results verify the correctness of the theoretical analysis.
期刊介绍:
Infrared technology is one of the earliest photoelectronic journals in China.Infrared Technology is published by Science Press, and it is a single monthly technical journal.
Infrared Technology is a professional and academic journal based on scientific research, which comprehensively reflects the research progress of infrared technology at home and abroad and its application in national defense, industry, agriculture and national economy.After years of efforts, INFRARED Technology has become the core journal of Chinese, The core journal of Chinese science and technology, and the source journal of Chinese Science citation database.