Simple adaptive control to attenuate bridge’s seismic responses considering parametric variations

Parametric variations occur throughout a bridge’s service life as a result of temperature variations, cracking, localized damage, and fatigue. Existing bridge’s parameters are difficult to estimate precisely and implemented control schemes may perform unsatisfactorily depending on how sensitive they are to parametric change. In this study, an adaptive control approach is developed utilizing the simple adaptive control algorithm and designed aiming to mitigate seismic responses of bridges considering realistic implementation. Adaptive control is a viable alternative to control bridge structures as it is able to calculate control gains that vary over time based on sensed responses, sustaining performance in face of parametric variations. The proposed approach allows the choice of a model reference of significantly low order and it does not require full-state feedback or the use of observers. The effectiveness and robustness of the control approach are investigated when controlling a seismically excited two-span highway bridge considering systematic parametric variations. Evaluation of relevant performance criteria indicates that the adaptive scheme is effective in reducing seismic responses and sustains well the overall performance when systematic parametric variations are introduced. The proposed approach requires a small and reasonable number of sensors to present effectiveness and performs satisfactorily even when in the presence of measurement noise.

[1]  Luciana R. Barroso,et al.  Simple Adaptive Control Strategy Applied to Reduce Response of Bridge Structure Subjected to Changes in Plant , 2018, 2018 Annual American Control Conference (ACC).

[2]  Mario Luca Fravolini,et al.  Multi-model robust adaptive control of tall buildings , 2017 .

[3]  Amin Hosseini,et al.  Online self‐tuning mechanism for direct adaptive control of tall building , 2018 .

[4]  S. M. Dumne,et al.  Seismic response analysis of adjacent buildings connected with MR dampers , 2010 .

[5]  Yozo Fujino,et al.  Investigation of semi-active control for seismic protection of elevated highway bridges , 2002 .

[6]  H. Kaufman,et al.  Implicit Adaptive Control for a Class of MIMO Systems , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[7]  A. Guez,et al.  Simple adaptive control for a class of non-linear systems with application to robotics , 1990 .

[8]  Petros A. Ioannou,et al.  Robust redesign of adaptive control , 1984 .

[9]  Hyung-Jo Jung,et al.  State-of-the-art of semiactive control systems using MR fluid dampers in civil engineering applications , 2004 .

[10]  Stefan Hurlebaus,et al.  Adaptive Control to Mitigate Damage Impact on Structural Response , 2010 .

[11]  Ping Tan,et al.  Benchmark structural control problem for a seismically excited highway bridge—Part I: Phase I Problem definition , 2009 .

[12]  Petar V. Kokotovic,et al.  Instability analysis and improvement of robustness of adaptive control , 1984, Autom..

[13]  Itzhak Barkana,et al.  Robustness and perfect tracking in simple adaptive control , 2016 .

[14]  Itzhak Barkana,et al.  On Gain Conditions and Convergence of Simple Adaptive Control , 2003 .

[15]  Steve Ulrich,et al.  Decentralized simple adaptive control of nonlinear systems , 2014 .

[16]  I. Bar-Kana Parallel feedforward and simplified adaptive control , 1987 .

[17]  Itzhak Barkana,et al.  Extensions in adaptive model tracking with mitigated passivity conditions , 2013 .

[18]  Osamu Yoshida,et al.  Seismic Control of a Nonlinear Benchmark Building using Smart Dampers , 2004 .

[19]  Stefan Hurlebaus,et al.  Semi-active adaptive control of seismically excited 20-story nonlinear building , 2013 .

[20]  Hyung-Jo Jung,et al.  CONTROL OF SEISMICALLY EXCITED CABLE-STAYED BRIDGE EMPLOYING MAGNETORHEOLOGICAL FLUID DAMPERS , 2003 .

[21]  Jeffrey B. Burl,et al.  Linear Optimal Control , 1998 .

[22]  Ningsu Luo,et al.  Decentralized model reference control of flexible cable-stayed beam structures , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[23]  I. Barkana A modified invariance principle and gain convergence in adaptive control , 2008, 2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel.

[24]  B. Sp,et al.  State of the Art of Structural Control , 2003 .

[25]  Fereidoun Amini,et al.  Application of simple adaptive control to an MR damper-based control system for seismically excited nonlinear buildings , 2016 .

[26]  Itzhak Barkana Parallel Feedforward and Simple Adaptive Control of Flexible Structures: First-Order Pole Instead of Collocated Velocity Sensors? , 2016 .

[27]  Shih Chieh Lo,et al.  Application of real‐time adaptive identification technique on damage detection and structural health monitoring , 2009 .

[28]  Billie F. Spencer,et al.  Controlling Buildings: A New Frontier in Feedback , 1998 .

[29]  Shirley J. Dyke,et al.  PHENOMENOLOGICAL MODEL FOR MAGNETORHEOLOGICAL DAMPERS , 1997 .

[30]  Paul N. Roschke,et al.  Neuro-fuzzy control of structures using acceleration feedback , 2001 .

[31]  Stefan Hurlebaus,et al.  Active and Semi‐active Adaptive Control for Undamaged and Damaged Building Structures Under Seismic Load , 2012, Comput. Aided Civ. Infrastructure Eng..

[32]  Itzhak Barkana,et al.  Adaptive Control? But is so Simple! , 2016, J. Intell. Robotic Syst..

[33]  F. Chernousko State Estimation for Dynamic Systems , 1993 .

[34]  Billie F. Spencer,et al.  Controlling buildings: a new frontier in feedback , 1997 .

[35]  Itzhak Barkana,et al.  Simple adaptive controlߞA stable direct model reference adaptive control methodology - brief survey , 2007, ALCOSP.

[36]  B. F. Spencer,et al.  STATE OF THE ART OF STRUCTURAL CONTROL , 2003 .

[37]  Y. Wen Method for Random Vibration of Hysteretic Systems , 1976 .

[38]  H. Kaufman,et al.  Simple adaptive control of large flexible space structures , 1993 .

[39]  Vincenzo Gattulli,et al.  Integrated Procedure for Identification and Control of MDOF Structures , 2000 .

[40]  Itzhak Barkana,et al.  Simple adaptive control – a stable direct model reference adaptive control methodology – brief survey , 2014 .

[41]  Luciana R. Barroso,et al.  Utilizing the Adaptive Control in Mitigating the Seismic Response of Adjacent Buildings Connected with MR Dampers , 2018, 2018 Annual American Control Conference (ACC).

[42]  Billie F. Spencer,et al.  MR damping system for mitigating wind-rain induced vibration on Dongting Lake cable-stayed bridge , 2004 .