基于微分进化算法的模拟地震振动台频响函数辨识
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摘要
模拟地震振动台系统是一个非线性系统,带有负载的系统更是一个非线性系统,但在系统的控制策略中,系统在工作点附近通常可以看作近似线性的。对系统的频率响应函数的估计通常使用H1估计器或H2估计器,H1估计器为欠估计,而H2估计器为过估计,二者估计的误差都比较大。因此对于模拟地震振动台系统该文采用一种介于二者中间的估计器Hm,其参数利用微分进化算法进行估计,使Hm更接近系统的真实频率响应函数H,从而减少了振动台系统迭代控制的次数,减小对负载特性的影响。
引文
[1]黄浩华.地震模拟振动台的设计与应用技术[M].北京:地震出版社,2008.
[2]Alexander P..Measurement of frequency responses of non-linearly distorted SISO systems in noisy environments with generalized parameter frequency response estimators[J].Signal Processing.2006,(86):2094-2114.
[3]J.Bendat,A.Piersol.Engineering applications of correla-tion and spectral analysis[R].New York:Wiley,1980.
[4]H.Herlufsen,Dual channel FFT-analysis(Part I)[EB/OL].http://www.bk.dk/pdf/Bv0014.pdf.Technical Re-view no.1,1984.
[5]J.Schoukens,R.Pintelon.Measurement of frequency re-sponse functions in noisy environments[J].IEEE Trans.In-strumentation and Measurement.1990,(6):905-909.
[6]J.Leuridan,D.De Vis.A comparison of some frequency response function measurement techniques[J].Proceedings of the Fourth International Modal Analysis Conference,Vol.1[C],New York,Schenectady,1996,(1):908-918.
[7]Storn R,Price KV.Differential evolution-a simple and effi-cient adaptive scheme for global optimization over continuous spaces[R].California Intermational Computer Science In-stitute,1995.
[8]Schwefel HP.Evolution and optimum seeking[M].New York:John Wiley,1995.
[9]Stron R,Price K.Minimizing the real functions of the ICEC96contest by differential evolution[J].IEEE Conference on Evolutionary Computation,1996,(1):842-844.
[10]陈建秋.六自由度模拟地震振动台台面控制原理研究[J].广州大学学报(自然科学版),2006,5(3):75-79.
[11]Ljung L.System identification:theory for the user[M].London:Prentice-Hall PTR,1999.
[12]李言俊,张科.系统辨识理论及应用[M].北京:国防工业出版社,2003.
[2]Alexander P..Measurement of frequency responses of non-linearly distorted SISO systems in noisy environments with generalized parameter frequency response estimators[J].Signal Processing.2006,(86):2094-2114.
[3]J.Bendat,A.Piersol.Engineering applications of correla-tion and spectral analysis[R].New York:Wiley,1980.
[4]H.Herlufsen,Dual channel FFT-analysis(Part I)[EB/OL].http://www.bk.dk/pdf/Bv0014.pdf.Technical Re-view no.1,1984.
[5]J.Schoukens,R.Pintelon.Measurement of frequency re-sponse functions in noisy environments[J].IEEE Trans.In-strumentation and Measurement.1990,(6):905-909.
[6]J.Leuridan,D.De Vis.A comparison of some frequency response function measurement techniques[J].Proceedings of the Fourth International Modal Analysis Conference,Vol.1[C],New York,Schenectady,1996,(1):908-918.
[7]Storn R,Price KV.Differential evolution-a simple and effi-cient adaptive scheme for global optimization over continuous spaces[R].California Intermational Computer Science In-stitute,1995.
[8]Schwefel HP.Evolution and optimum seeking[M].New York:John Wiley,1995.
[9]Stron R,Price K.Minimizing the real functions of the ICEC96contest by differential evolution[J].IEEE Conference on Evolutionary Computation,1996,(1):842-844.
[10]陈建秋.六自由度模拟地震振动台台面控制原理研究[J].广州大学学报(自然科学版),2006,5(3):75-79.
[11]Ljung L.System identification:theory for the user[M].London:Prentice-Hall PTR,1999.
[12]李言俊,张科.系统辨识理论及应用[M].北京:国防工业出版社,2003.
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