Estimation of Single-Sinusoidal Disturbance Using Robust Observer for Multiple-Disturbances Systems
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- 英文论文题名：Estimation of Single-Sinusoidal Disturbance Using Robust Observer for Multiple-Disturbances Systems
- 论文作者：He Meng ; Xinyu Wen ; Qi Liu
- 英文论文作者：He Meng ; Xinyu Wen ; Qi Liu ; Key Laboratory of Expressway Construction Machinery of Shanxi ; School of Electronic Information Engineering ; Taiyuan University of Science and Technology
- 年：2017
- 作者机构：Key Laboratory of Expressway Construction Machinery of Shaanxi;School of Electronic Information Engineering,Taiyuan University of Science and Technology;
- 英文论文关键词：sinusoidal disturbance ; two-layer structure ; disturbance observer ; robust observer
- 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（A）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
- 语种：英文
- 分类号：O231
- 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：178k
- 原文格式：D
- 会议级别：全国
摘要
A disturbance estimation approach is presented for a class of nonlinear systems by incorporating two-layer structure. The multiple-disturbances concerned are supposed to include two parts. One is generated by an exogenous system, which can represent the single-sinusoidal signal with unknown frequency. The other part is norm bounded uncertain disturbance. The special auxiliary observer represent the exogenous modeled disturbance in a parametric uncertainty form where the unknown parameter can be reduced to a scalar. Another observer is thus constructed to estimate the equivalent sinusoidal disturbance,meanwhile the robust performance against the bounded signal is guaranteed. Simulations demonstrate the advantages of the proposed scheme.
A disturbance estimation approach is presented for a class of nonlinear systems by incorporating two-layer structure. The multiple-disturbances concerned are supposed to include two parts. One is generated by an exogenous system, which can represent the single-sinusoidal signal with unknown frequency. The other part is norm bounded uncertain disturbance. The special auxiliary observer represent the exogenous modeled disturbance in a parametric uncertainty form where the unknown parameter can be reduced to a scalar. Another observer is thus constructed to estimate the equivalent sinusoidal disturbance,meanwhile the robust performance against the bounded signal is guaranteed. Simulations demonstrate the advantages of the proposed scheme.
A disturbance estimation approach is presented for a class of nonlinear systems by incorporating two-layer structure. The multiple-disturbances concerned are supposed to include two parts. One is generated by an exogenous system, which can represent the single-sinusoidal signal with unknown frequency. The other part is norm bounded uncertain disturbance. The special auxiliary observer represent the exogenous modeled disturbance in a parametric uncertainty form where the unknown parameter can be reduced to a scalar. Another observer is thus constructed to estimate the equivalent sinusoidal disturbance,meanwhile the robust performance against the bounded signal is guaranteed. Simulations demonstrate the advantages of the proposed scheme.
引文
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[15]J.Yang,W.X.Zheng and S.H.Li.Design of a prediction accuracy enhanced continuous-time MPC for disturbed systems via a disturbance observer[J].IEEE Transactions on Industrial Electronics,2015,62(9):5807-5816.
[16]L.J.Brown,Q.Zhang.Periodic disturbance cancellation with uncertain frequency[J].Automatica,2004,40(4):631-637.
[17]G.Fedele and A.Ferrise.Biased Sinusoidal Disturbance Compensation With Unknown Frequency[J].IEEE Transactions On Automatic Control,2013,58(12):3207-3212.
[18]S.Jafari,P.Ioannou,B.Fitzpatrick and Y.Wang.Robustness And Performance Of Adaptive Suppression Of Unknown Periodic Disturbances[J].IEEE Transactions On Automatic Control,2015,60(8):2166-2171.
[19]R.Marino and P.Tomei.Output Regulation for Linear Systems via Adaptive Internal Model[J].IEEE Transactions on Automatic Control,2003,48(12):2199-2202.
[20]R.Marino and G.L.Santosuosso.Global Compensation of Unknown Sinusoidal Disturbances for a Class of Nonlinear Nonminimum Phase Systems[J].IEEE Transactions on Automatic Control,2005,50(11):1816-1822.
[21]R.Marino and P.Tomei.Adaptive Tracking and Disturbance Rejection for Uncertain Nonlinear Systems[J].IEEE Transactions on Automatic Control,2005,50(1):90-95.
[22]V.Nikiforov.Nonlinear servocompensation of unknown external disturbances[J].Automatica,2001,37(10):1647-1653.
[23]Z.R.Xi and Z.Ding.Global adaptive output regulation of a class of nonlinear systems with nonlinear exosystems[J].Automatica,2007,43:143-149.
[24]X.Y.Wen and P.Yan.Two-layer observer based control for a class of uncertain systems with multi-frequency disturbances[J].ISA Transactions,2016,63(7)84-92.
[2]T.Mizuno and T.Higuchi.Design of magnetic bearing controllers based on disturbance estimation[C].The 2nd International Symposium On Magnetic Bearings.Tokyo:NISSEI EBLO.1990:281-288.
[3]M.Bodson,J.S.Jensen and S.C.Douglas.Active noise control for periodic disturbances[J].IEEE Transactions on Control Systems Technology,2001,9(1):200-205.
[4]W.H.Chen.A Nonlinear Disturbance Observer for Robotic Manipulators[J].IEEE Transactions on Industrial Electronics,2000,47(4):932-938.
[5]X.K.Chen,C.Y.Su and Toshio Fukuda.A Nonlinear Disturbance Observer for Multivariable Systems and Its Application to Magnetic Bearing Systems[J].IEEE Transactions Control Systems Technology,2004,12(4):569-577.
[6]B.Xian and N.Jalili.Adaptive Tracking Control of Linear Uncertain Mechanical Systems Subjected to Unknown Sinusoidal Disturbances[J].Journal of Dynamic Systems,Measurement,and Control,2003,125(3):129-134.
[7]A.Serrani,A.Isidori,and L.Marconi.Semiglobal nonlinear output regulation with adaptive internal model[J].IEEE Transactions on Automatic Control,2001,46(8):1178-1194.
[8]Z.Ding.Global stabilization and disturbance suppression of a class of nonlinear systems with uncertain internal model[J].Automatica,2003,39(3):471-479.
[9]Z.Ding.Universal disturbance rejection for nonlinear systems in output feedback form[J].IEEE Transactions on Automatic Control,2003,48(7):1222-1226.
[10]W.H.Chen.Disturbance Observer Based Control for Nonlinear Systems[J].IEEE/ASME Transactions on Mechatronics,2004,9(4):706-710.
[11]L.Guo and W.H.Chen.Disturbance attenuation and rejection for systems with nonlinearity via DOBC approach[J].International Journal of Robust Nonlinear Control,2005,15:109-125.
[12]X.Wei and L.Guo.Composite Disturbance-Observer-Based Control and H∞Control for Complex Continuous Models[J].International Journal of Robust and nonlinear Control,2010,20(1):106-118.
[13]L.Guo and X.Y.Wen.Hierarchical Anti-Distance Adaptive Control for Nonlinear Systems with Composite Disturbances[J].Transaction of the Institute of Measurement and Control,2011,32(2):942-956.
[14]X.Y.Wen,L.Guo and P.Yan.Hierarchical Anti-Distance Adaptive Control for Nonlinear Systems with Composite Disturbances[J].International Journal of Control,Automation,and Systems,2014,12(3):541-551.
[15]J.Yang,W.X.Zheng and S.H.Li.Design of a prediction accuracy enhanced continuous-time MPC for disturbed systems via a disturbance observer[J].IEEE Transactions on Industrial Electronics,2015,62(9):5807-5816.
[16]L.J.Brown,Q.Zhang.Periodic disturbance cancellation with uncertain frequency[J].Automatica,2004,40(4):631-637.
[17]G.Fedele and A.Ferrise.Biased Sinusoidal Disturbance Compensation With Unknown Frequency[J].IEEE Transactions On Automatic Control,2013,58(12):3207-3212.
[18]S.Jafari,P.Ioannou,B.Fitzpatrick and Y.Wang.Robustness And Performance Of Adaptive Suppression Of Unknown Periodic Disturbances[J].IEEE Transactions On Automatic Control,2015,60(8):2166-2171.
[19]R.Marino and P.Tomei.Output Regulation for Linear Systems via Adaptive Internal Model[J].IEEE Transactions on Automatic Control,2003,48(12):2199-2202.
[20]R.Marino and G.L.Santosuosso.Global Compensation of Unknown Sinusoidal Disturbances for a Class of Nonlinear Nonminimum Phase Systems[J].IEEE Transactions on Automatic Control,2005,50(11):1816-1822.
[21]R.Marino and P.Tomei.Adaptive Tracking and Disturbance Rejection for Uncertain Nonlinear Systems[J].IEEE Transactions on Automatic Control,2005,50(1):90-95.
[22]V.Nikiforov.Nonlinear servocompensation of unknown external disturbances[J].Automatica,2001,37(10):1647-1653.
[23]Z.R.Xi and Z.Ding.Global adaptive output regulation of a class of nonlinear systems with nonlinear exosystems[J].Automatica,2007,43:143-149.
[24]X.Y.Wen and P.Yan.Two-layer observer based control for a class of uncertain systems with multi-frequency disturbances[J].ISA Transactions,2016,63(7)84-92.