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题名: Adaptive parameter identification of servo control systems with noise and high-frequency uncertainties
作者: Chyun-Chau Fuh;Hsun-Heng Tsai
贡献者: NTOU:Department of Mechanical and Mechatronic Engineering
关键词: Chaos;Servo system;Adaptive parameter identification;Persistent excitation;Band-limitation
日期: 2007-04
上传时间: 2011-10-20T08:08:13Z
出版者: Mechanical Systems and Signal Processing
摘要: Abstract:When identifying the parameters of practical servo systems, the high-frequency system modes are frequently neglected in order to simplify the model. Additionally, avoiding measurement noise in physical experiments is virtually impossible Therefore, selecting an appropriate excitation signal is essential. Specifying white noise, or other such signals, as the input signal may cause the excitation of high-frequency uncertainties, which affects the reliability of the parameter identification process. The current study proposes a novel approach in which a particular class of chaotic signal is employed as the excitation signal in an adaptive parameter identification process. Since chaotic signals typically have stationary, continuous, and band-limited power spectra, they are suitable for on-line parameter identification. The present numerical and experimental results demonstrate that the use of a chaotic excitation signal in the identification process causes the estimated system parameters to converge within identifiable ranges, even when the system includes measurement noise and high-frequency uncertainties. The current results also show that there is good agreement between the dynamics of the real system and those of the estimated model within the operation bandwidth.
關聯: 21(3), pp.1437–1451
显示于类别:[機械與機電工程學系] 期刊論文





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