Simple adaptive control method for mitigating the seismic responses of coupled adjacent buildings considering parameter variations

Abstract The effectiveness of using the simple adaptive control method in the presence of noise and parameter variations in mitigating the seismic structural responses of a coupled buildings structure is studied. The advantage of using the adaptive controller is that it can deal with any change in the dynamic characteristics of structural systems during their lifetime. In the current study, the change in the structural characteristics is reflected as a reduction in the system’s mass and stiffness as an outcome of the damage potential in the two buildings under seismic excitations. The coupled system is formed of two buildings modeled as shear-type models having different heights and connected at multiple levels with control devices. The effectiveness of different actuators is explored using the magneto-rheological damper for semi-active control and the hydraulic actuator for active control. A suite of five major earthquakes are chosen as external excitations to perform the dynamic analysis in the time domain. The performance of the adaptive controller is compared with different control strategies such as LQR, and Lyapunov theory-based algorithm. The results show that using the adaptive controller to drive the control devices connecting two adjacent buildings is effective in alleviating the seismic responses. Moreover, the proposed control scheme is more promising for dealing with the structural parameter variations during seismic events than the LQR and Lyapunov theory-based algorithms.

[1]  Slawomir Tumanski.  Sensors and Actuators - Control System Instrumentation (de Silva, C.W.; 2007) [ book review] , 2007, IEEE Instrumentation & Measurement Magazine.

[2]  Erik A. Johnson,et al.  Coupled Building Control Considering the Effects of Building/Connector Configuration , 2006 .

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

[4]  Shirley J. Dyke,et al.  Semiactive Control Strategies for MR Dampers: Comparative Study , 2000 .

[5]  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).

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

[7]  Billie F. Spencer,et al.  Modeling and Control of Magnetorheological Dampers for Seismic Response Reduction , 1996 .

[8]  Abdelhafid Ounis,et al.  Retrofitting of a weaker building by coupling it to an adjacent stronger building using MR dampers , 2017 .

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

[10]  B. F. Spencer.  Reliability of Randomly Excited Hysteretic Structures , 1986 .

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

[12]  W. Brogan.  Modern Control Theory , 1971 .

[13]  George Leitmann,et al.  Semiactive Control for Vibration Attenuation , 1994 .

[14]  Jordi Vives i Costa,et al.  Numerical model for a nineteenth-century hydrometric module , 2019 .

[15]  Huaxia Deng,et al.  Magnetorheological Damper Working in Squeeze Mode , 2014 .

[16]  J. Geoffrey Chase,et al.  Quadratic jerk regulation and the seismic control of civil structures , 2003 .

[17]  Huijun Gao,et al.  A Bioinspired Dynamics-Based Adaptive Tracking Control for Nonlinear Suspension Systems , 2018, IEEE Transactions on Control Systems Technology.

[18]  Huijun Gao,et al.  Disturbance Observer-Based Adaptive Tracking Control With Actuator Saturation and Its Application , 2016, IEEE Transactions on Automation Science and Engineering.

[19]  Billie F. Spencer,et al.  Large-scale MR fluid dampers: modeling and dynamic performance considerations , 2002 .

[20]  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..

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

[22]  Shirley J. Dyke,et al.  Benchmark Control Problems for Seismically Excited Nonlinear Buildings , 2004 .

[23]  Chih-Chen Chang,et al.  Shear-Mode Rotary Magnetorheological Damper for Small-Scale Structural Control Experiments , 2004 .

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

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

[26]  Shirley J. Dyke,et al.  Role of Control-Structure Interaction in Protective System Design , 1995 .

[27]  Petros A. Ioannou,et al.  Adaptive Systems with Reduced Models , 1983 .

[28]  Izhak Bar-Kana,et al.  On Parallel Feedforward and Simplified Adaptive Control , 1987 .

[29]  R. E. Klein,et al.  Semi-Active Control of Wind Induced Oscillations in Structures , 1987 .

[30]  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).

[31]  Steve Ulrich,et al.  Simple Adaptive Control for Spacecraft Proximity Operations , 2014 .

[32]  Joseph Z. Ben-Asher,et al.  A simple adaptive control application to large flexible structures , 2010, Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference.