Direct adaptive algorithm for seismic control of damaged structures with faulty sensors

Abstract

In recent decades, the application of semi-active control strategies has gained much attention as a way to reduce the seismic response of civil infrastructures. However, uncertainty in the modeling process of systems with possible partial or total failure during an earthquake is the main concern of engineers about the reliability of this strategy. In this regard, adaptive control algorithms are known as an effective solution to adjust control parameters with different uncertainties. In the current study, the efficiency of the simple adaptive control method (SACM) is investigated to control the seismic response of building structures in the presence of unknown structural damage and fault in the sensors. The method is evaluated in 20-story steel moment resisting frames with different arrangement of smart dampers and sensors with various damage and fault scenarios. The results show that the SACM control system can effectively reduce the maximum inter-story drift of the structure in all different assumed magnetorheological damper arrangements. Furthermore, combination of a Kalman–Bucy filter with the SACM improves robustness of the controller to the uncertainties of sensors faults and damages of structural elements.

Optimal tuned direct adaptive controller for seismic protecting of structures

“…The parameters in equations (20) and (21); γ Ie 1 , γ Ie 2 , γ Pe 1 , γ Pe 2 , and σ e should be selected properly to tune the SAC controller. The selection process is mainly done by trial and error which needs a large number of sensitive analyses; there exists a doubt whether it results in most appropriate values or not (Hosseini et al, 2018).…”

“…Due to the described advantages, SAC has been employed in different engineering systems (Al-Fahdawi et al, 2019; Amini et al, 2018; Bar-Kana and Kaufman, 1984; Bar-Kana et al, 1983; Bitaraf et al, 2010, 2012; Bitaraf and Hurlebaus, 2013; Hosseini and Taghikhany, 2018; Hosseini et al, 2018; Javanbakht and Amini, 2016) as well as civil infrastructures. Bitaraf et al used the SAC controller to protect building structures under seismic action by MR dampers (Bitaraf and Hurlebaus, 2013; Bitaraf et al, 2010, 2012).…”

“…Nevertheless, in the SAC method, tuning and selecting the weighting matrices require extensive sensitive analysis. It should be conducted to give sufficient knowledge about the nature of the control plant and the values of adjustable parameters by trial and error (Hosseini et al, 2018). Therefore, introducing a method to find optimum weighting matrices improves the competency of SAC and omit sensitivity analysis.…”

Response Attenuation of a Structure Equipped with ATMD under Seismic Excitations Using Methods of Online Simple Adaptive Controller and Online Adaptive Type-2 Neural-Fuzzy Controller

“…As a result, K x (t) and K u (t) denote the time-varying feedforward control gains required for obtaining zero output tracking error. ese control gains are generated by the SAC method to ensure the stability of the controlled system and reduce the tracking error to zero asymptotically [109,132]. When there is a disturbance, the coe cient of r(t) T in ( 28) is used, and it might be quite small [133].…”

Online self‐tuning mechanism for direct adaptive control of tall building

“…They also showed the SAC method robustness to assume uncertainty and its ability to mitigate the damage impact on structural response. In a different study, the efficiency of the SAC method was investigated in the seismic control of a 20‐story building with unknown damages and faults in structural members and sensors …”