随机振动功率谱再现自适应控制算法研究
|
摘要
为提高电液随机振动实验的控制精度,提出一种基于Kalman滤波器的随机振动功率谱再现实时自适应控制方法。基于参考谱的信息设计FIR滤波器,通过对白噪声信号的滤波生成时域驱动信号。采用Kalman自适应滤波器实时跟踪振动实验系统的阻抗特性,并基于自适应逆控制方法对系统的输入信号进行滤波修正,使得系统的响应信号能够高精度再现时域驱动信号,进而实现参考谱的高精度再现。功率谱再现实验验证了算法的有效性。
The real time adaptive control algorithm of power spectral density(PSD) replication was presented based on Kalman filters to improve the control precision of the vibration control system.The finite impulse response(FIR) filters were designed according to the referential PSD.The time domain driving signal was generated by filtering a series of independent white noise with the designed FIR filters.The Kalman filters were developed to obtain the inverse model of the vibration control system.The input signal of the vibration control system was updated based on adaptive inverse control method.The referential PSD was then replicated in high precision by the reproduction of the time domain driving signal in the output of the system.The test results of PSD replication show the effectiveness of the proposed algorithm.
The real time adaptive control algorithm of power spectral density(PSD) replication was presented based on Kalman filters to improve the control precision of the vibration control system.The finite impulse response(FIR) filters were designed according to the referential PSD.The time domain driving signal was generated by filtering a series of independent white noise with the designed FIR filters.The Kalman filters were developed to obtain the inverse model of the vibration control system.The input signal of the vibration control system was updated based on adaptive inverse control method.The referential PSD was then replicated in high precision by the reproduction of the time domain driving signal in the output of the system.The test results of PSD replication show the effectiveness of the proposed algorithm.
引文
[1]Edwin A S.Vibration control system[P].United States,4989158.1991-01-29.
[2]陈章位,于慧君.振动控制技术现状与进展[J].振动与冲击,2009,28(3):73-77,86,200.
[3]韩强,杜修力,刘晶波,等.多维地震作用下隔震桥梁地震反应(I)——模型结构振动台试验[J].振动与冲击,2008,27(9):59-65,182-183.
[4]杨志东,丛大成,韩俊伟,等.基于扩展型准牛顿优化算法的单轴正弦扫频振动控制[J].振动与冲击,2008,27(3):99-103,112,182-183.
[5]Stroud R C,Hamma G A.Multiexciter and multiaxis vibrationexciter control systems[J].Sound and Vibration,1988,22(4):18-28.
[6]Smallwood D O.Random vibration testing of a single test itemwith a multiple input control system[C].Proceedings of theInstitute of Environmental Sciences'28th Annual TechnicalMeeting,USA,Dallas,TX,1982:42-49.
[7]Stroud R C,Hamma G A,Underwood M A,et al.A reviewof multiaxis/multiexciter vibration technology[J].Sound andVibration,1996,30(4):20-27.
[8]Karshenas A M,Dunnigan M W,Williams B W.Adaptiveinverse control algorithm for shock testing[J].IEEE Proc-Control Theory and Applications.2000,147(3):267-276.
[9]Groud D R,Gupta H O,Agarwal P.Design of random vibra-tion controller using adaptive filtering[J].International Jour-nal of Recent Trends in Engineering,2009,2(5):75-79.
[10]Sayed A H,Kailath T.A state-space approach to adaptiveRLS filtering[J].IEEE Signal Processing Magazine.1994:18-60.
[11]The MathWorks,Inc.Filter design toolbox:designing ad-vanced filters:optimal filter design solutions.Matlab HelpDocument[CP/CD].US,MA:The Math Words,Inc,2002.
[12]McClellan J H,Parks T W.A personal history of the Parks-McClellan algorithm[J].IEEE Signal Processing Magzine.2005,22(2):82-86.
[13]Haykin S.自适应滤波器原理[M].第四版.郑宝玉等译.北京:电子工业出版社,2003,369-389.
[14]Qureshi S U H.Adaptive equalization[C].Proceedings ofthe IEEE,1985,73(9):1349-1387.
[15]Widrow B,Walach E,Adaptive inverse control-a Signal pro-cessing approach[M].Reissue ed.Hoboken,New Jersey:John Wiley&Sons,Inc.,2008,138-144.
[16]张尚盈,赵慧,韩俊伟.六自由度运动平台实时控制的正/反解算法[J].机床与液压,2003,(3):133-135,123.
[17]JB/T 8288-2001.中华人民共和国机械行业标准[S].液压振动台.北京:中国机械工业联合会,2001.
[2]陈章位,于慧君.振动控制技术现状与进展[J].振动与冲击,2009,28(3):73-77,86,200.
[3]韩强,杜修力,刘晶波,等.多维地震作用下隔震桥梁地震反应(I)——模型结构振动台试验[J].振动与冲击,2008,27(9):59-65,182-183.
[4]杨志东,丛大成,韩俊伟,等.基于扩展型准牛顿优化算法的单轴正弦扫频振动控制[J].振动与冲击,2008,27(3):99-103,112,182-183.
[5]Stroud R C,Hamma G A.Multiexciter and multiaxis vibrationexciter control systems[J].Sound and Vibration,1988,22(4):18-28.
[6]Smallwood D O.Random vibration testing of a single test itemwith a multiple input control system[C].Proceedings of theInstitute of Environmental Sciences'28th Annual TechnicalMeeting,USA,Dallas,TX,1982:42-49.
[7]Stroud R C,Hamma G A,Underwood M A,et al.A reviewof multiaxis/multiexciter vibration technology[J].Sound andVibration,1996,30(4):20-27.
[8]Karshenas A M,Dunnigan M W,Williams B W.Adaptiveinverse control algorithm for shock testing[J].IEEE Proc-Control Theory and Applications.2000,147(3):267-276.
[9]Groud D R,Gupta H O,Agarwal P.Design of random vibra-tion controller using adaptive filtering[J].International Jour-nal of Recent Trends in Engineering,2009,2(5):75-79.
[10]Sayed A H,Kailath T.A state-space approach to adaptiveRLS filtering[J].IEEE Signal Processing Magazine.1994:18-60.
[11]The MathWorks,Inc.Filter design toolbox:designing ad-vanced filters:optimal filter design solutions.Matlab HelpDocument[CP/CD].US,MA:The Math Words,Inc,2002.
[12]McClellan J H,Parks T W.A personal history of the Parks-McClellan algorithm[J].IEEE Signal Processing Magzine.2005,22(2):82-86.
[13]Haykin S.自适应滤波器原理[M].第四版.郑宝玉等译.北京:电子工业出版社,2003,369-389.
[14]Qureshi S U H.Adaptive equalization[C].Proceedings ofthe IEEE,1985,73(9):1349-1387.
[15]Widrow B,Walach E,Adaptive inverse control-a Signal pro-cessing approach[M].Reissue ed.Hoboken,New Jersey:John Wiley&Sons,Inc.,2008,138-144.
[16]张尚盈,赵慧,韩俊伟.六自由度运动平台实时控制的正/反解算法[J].机床与液压,2003,(3):133-135,123.
[17]JB/T 8288-2001.中华人民共和国机械行业标准[S].液压振动台.北京:中国机械工业联合会,2001.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心