A New Parameter Estimation Method Using Steady-state Sinusoidal Output Measurements for Linear Systems

カテゴリ: 研究会(論文単位)

論文No: CT23090

グループ名: 【C】電子・情報・システム部門 制御研究会

発行日: 2023/09/08

タイトル(英語): A New Parameter Estimation Method Using Steady-state Sinusoidal Output Measurements for Linear Systems

著者名: Man Zhihong(Swinburne University of Technology),鄧 明聡(東京農工大学),Zhang D.(Swinburne University of Technology),Cao Z.(Swinburne University of Technology),Zhang J.(Swinburne University of Technology),Wang H.(Murdoch University)

著者名(英語): Zhihong Man(Swinburne University of Technology),Mingcong Deng(Tokyo University of Agriculture and Technology),D. Zhang(Swinburne University of Technology),Z. Cao(Swinburne University of Technology),J. Zhang(Swinburne University of Technology),H. Wang(Murdoch University)

キーワード: Ｐａｒａｍｅｔｅｒ　ｅｓｔｉｍａｔｉｏｎ|Ｌｉｎｅａｒ　ｓｙｓｔｅｍ|Ｓｔｅａｄｙ－ｓｔａｔｅ|Ｌｅａｓｔ　ｓｑｕａｒｅｓ　ｏｐｔｉｍｉｚａｔｉｏｎ|Ｔｒｉｇｏｎｏｍｅｔｒｉｃ　ｂａｓｅ|Ｓｉｍｕｌａｔｉｏｎ|Parameter estimation|Linear system|Steady-state|Least squares optimization|Trigonometric base|Simulation

要約(日本語): In this paper, a new parameter estimation method using steady-state sinusoidal output information is proposed for a broad class of second-order linear systems. It is shown that the input to system is chosen as the linear combination of a group of _x000D_ sinusoids and the amplitudes of the steady-state sinusoidal output components (SSOC) are extracted from the steady-state output measurements in any fundamental period. The unknown system parameters can then be estimated with the magnitude_x000D_ information of the SSOC in the frequency-domain. The advantages of the new parameter estimation method are two fold: (i)Only the SSOC measurements in any fundamental period are required for parameter estimation; (ii) The new method _x000D_ provides a global optimization mechanism, in any fundamental period at steady-state, to accurately estimate unknown system parameters. Two simulation examples for the second-order linear systems with both minimum-phase and non-minimum phase, respectively, are implemented to show the advantages and effectiveness of the proposed parameter estimation methodology.

要約(英語): In this paper, a new parameter estimation method using steady-state sinusoidal output information is proposed for a broad class of second-order linear systems. It is shown that the input to system is chosen as the linear combination of a group of _x000D_ sinusoids and the amplitudes of the steady-state sinusoidal output components (SSOC) are extracted from the steady-state output measurements in any fundamental period. The unknown system parameters can then be estimated with the magnitude_x000D_ information of the SSOC in the frequency-domain. The advantages of the new parameter estimation method are two fold: (i)Only the SSOC measurements in any fundamental period are required for parameter estimation; (ii) The new method _x000D_ provides a global optimization mechanism, in any fundamental period at steady-state, to accurately estimate unknown system parameters. Two simulation examples for the second-order linear systems with both minimum-phase and non-minimum phase, respectively, are implemented to show the advantages and effectiveness of the proposed parameter estimation methodology.

本誌: 2023年9月11日制御研究会

本誌掲載ページ: 35-40 p

原稿種別: 英語

PDFファイルサイズ: 810 Kバイト