Flexible Structures Identification for Mobile Satcom Antenna Servo Systems
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- 英文论文题名：Flexible Structures Identification for Mobile Satcom Antenna Servo Systems
- 论文作者：WEN Cheng ; TAN Minzhe ; SU Weizhou
- 英文论文作者：WEN Cheng ; TAN Minzhe ; SU Weizhou ; Institute of Automation Science and Engineering ; South China University of Technology
- 年：2017
- 作者机构：Institute of Automation Science and Engineering,South China University of Technology;
- 英文论文关键词：system identification ; flexible structures ; antenna servo systems ; MIMO systems
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（B）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
- 语种：英文
- 分类号：TN820.3;TN927.2
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：6
- 文件大小：321k
- 原文格式：D
- 会议级别：全国
摘要
With the requirements of antenna pointing accuracy increasing, the high frequency flexible characteristics have become the important factor of limiting the control performance for antenna servo systems. In this paper, an identification method is given to identify the mobile satcom antenna(MSCA) servo system with flexible structure. Using PRBS as the input signal, the impulse response is acquired based on correlation analysis; the state space model is derived from the impulse response through singular value decomposition; and a frequency domain model with explicit flexible parameters is obtained by parameters fitting.This method can intuitively determine the system order, is feasible to be applied to MIMO system. In addition, compared with some traditional identification methods, the experimental results show that this method is able to achieve higher accuracy in flexible structure identification work for electromechanical systems.
With the requirements of antenna pointing accuracy increasing, the high frequency flexible characteristics have become the important factor of limiting the control performance for antenna servo systems. In this paper, an identification method is given to identify the mobile satcom antenna(MSCA) servo system with flexible structure. Using PRBS as the input signal, the impulse response is acquired based on correlation analysis; the state space model is derived from the impulse response through singular value decomposition; and a frequency domain model with explicit flexible parameters is obtained by parameters fitting.This method can intuitively determine the system order, is feasible to be applied to MIMO system. In addition, compared with some traditional identification methods, the experimental results show that this method is able to achieve higher accuracy in flexible structure identification work for electromechanical systems.
With the requirements of antenna pointing accuracy increasing, the high frequency flexible characteristics have become the important factor of limiting the control performance for antenna servo systems. In this paper, an identification method is given to identify the mobile satcom antenna(MSCA) servo system with flexible structure. Using PRBS as the input signal, the impulse response is acquired based on correlation analysis; the state space model is derived from the impulse response through singular value decomposition; and a frequency domain model with explicit flexible parameters is obtained by parameters fitting.This method can intuitively determine the system order, is feasible to be applied to MIMO system. In addition, compared with some traditional identification methods, the experimental results show that this method is able to achieve higher accuracy in flexible structure identification work for electromechanical systems.
引文
[1]J.Debruin,Control systems for mobile satcom antennas,IEEE Control Systems Magazine,28(1):86-101,2008.
[2]C.Wen,M.Tan,W.Su,An H2/H∞Control Design for Mobile Satcom Antenna Servo,in Proceedings of the 35th Chinese Control Conference,2016:3023-3028.
[3]A.Elmustafa,M.Lagally,Flexural-hinge guided motion nanopositioner stage for precision machining:Finite element simulations,Precision Engineering,25(1):77-81,2001.
[4]A.Tzes,S.Yurkovich,A frequency domain identification scheme for flexible structure control,in Proceedings of the 27th IEEE Conference on IEEE,1988:1627-1632.
[5]Z.Hou,Y.Cheng,and Z.Tong,Modal parameter identification from multi-point measured data,in Proceedings of the 3rd International Modal Analysis Conference,1985:28-31.
[6]S.Mota,M.Nadeaubeaulieu,R.Botez,and M.Brenner,Modeling of structural deflections on a F/A-18 aircraft following flight flutter tests by use of subspace identification method,in AIAA Atmospheric Flight Mechanics Conference and Exhibit,2007:2007-6306.
[7]S.Algermissen,H.Monner,and P.Knott,Closed-loop subspace identification for vibration control of structure integrated antenna arrays,in Aerospace Conference on IEEE,2011:1-12.
[8]P.Overschee,B.Moor,Subspace Identification for Linear Systems:Theory,Implementation,Applications.Netherlands:Kluwer Academic Publishers,1996:37-56.
[9]W.Su,J.Leeb,Pseudo-random binary sequence design for finite impulse response identification,Control Engineering Practice,11:935-947,2003.
[10]L.Ljung,System Identification Theory for the User.New Jersey:Prentice Hall PTR,1999.
[11]C.Wen,X.Qiu,and Y.Wang,Application of hankel matrix identification method in antenna servo system,Measurement&Control Technology,34(6):118-121,2015.
[12]B.Li,Pseudo-random signal and correlation identification.Beijing:Science Press,1987:74-91.
[13]C.Chen,Linear System Theory And Design.New York:Oxford University Press,1999:198-205.
[14]U.Saggaf G.Franklin,An error bound for a discrete reduced order model of a linear multivariable system,IEEE Transactions on Automatic Control,32(9):815-819,1987.
[2]C.Wen,M.Tan,W.Su,An H2/H∞Control Design for Mobile Satcom Antenna Servo,in Proceedings of the 35th Chinese Control Conference,2016:3023-3028.
[3]A.Elmustafa,M.Lagally,Flexural-hinge guided motion nanopositioner stage for precision machining:Finite element simulations,Precision Engineering,25(1):77-81,2001.
[4]A.Tzes,S.Yurkovich,A frequency domain identification scheme for flexible structure control,in Proceedings of the 27th IEEE Conference on IEEE,1988:1627-1632.
[5]Z.Hou,Y.Cheng,and Z.Tong,Modal parameter identification from multi-point measured data,in Proceedings of the 3rd International Modal Analysis Conference,1985:28-31.
[6]S.Mota,M.Nadeaubeaulieu,R.Botez,and M.Brenner,Modeling of structural deflections on a F/A-18 aircraft following flight flutter tests by use of subspace identification method,in AIAA Atmospheric Flight Mechanics Conference and Exhibit,2007:2007-6306.
[7]S.Algermissen,H.Monner,and P.Knott,Closed-loop subspace identification for vibration control of structure integrated antenna arrays,in Aerospace Conference on IEEE,2011:1-12.
[8]P.Overschee,B.Moor,Subspace Identification for Linear Systems:Theory,Implementation,Applications.Netherlands:Kluwer Academic Publishers,1996:37-56.
[9]W.Su,J.Leeb,Pseudo-random binary sequence design for finite impulse response identification,Control Engineering Practice,11:935-947,2003.
[10]L.Ljung,System Identification Theory for the User.New Jersey:Prentice Hall PTR,1999.
[11]C.Wen,X.Qiu,and Y.Wang,Application of hankel matrix identification method in antenna servo system,Measurement&Control Technology,34(6):118-121,2015.
[12]B.Li,Pseudo-random signal and correlation identification.Beijing:Science Press,1987:74-91.
[13]C.Chen,Linear System Theory And Design.New York:Oxford University Press,1999:198-205.
[14]U.Saggaf G.Franklin,An error bound for a discrete reduced order model of a linear multivariable system,IEEE Transactions on Automatic Control,32(9):815-819,1987.