TY - JOUR
T1 - Adaptive control for smart-actuated base isolation structures regarding various reference-tracking strategies
AU - Ouyang, Yuting
AU - Shan, Jiazeng
AU - Shi, Weixing
AU - Spencer, Billie F.
N1 - Funding Information:
The first author gratefully acknowledges the financial support from the China Scholarship Council (CSC Grant No: 201706260113 ) for the visiting at the University of Illinois Urbana-Champaign. The first author also acknowledges Najafi, Mir Amirali for the discussion in the context of actuator dynamics simulation. This study is sponsored by the National Natural Science Foundation of China (Grant No: 51878483 ), and the Shanghai Peak Discipline Program.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/11/1
Y1 - 2019/11/1
N2 - An adaptive control framework considering servo-hydraulic dynamics is proposed for base isolation structures regarding various reference-tracking strategies. The reference-tracking-based adaptive controller is derived from a backstepping design methodology with Lyapunov stability analysis. Servo-hydraulic dynamics, including the control-structure interaction (CSI) and the actuator uncertainties, have significant effects on seismic control performance; accordingly, the critical issue of the control device dynamics-induced time-lag should be introduced in the control process. To drive a successful active control event, an inverse actuator model is integrated within the proposed controller. Such inverse dynamic models, with adaptive regulation characteristics, are expected to compensate the time-lag real-time. On the other hand, for a reference-tracking-based controller, control performance is determined by a reference model. Therefore, different reference generation strategies have been discussed in a comparative study by considering the effect of structure nonlinearity and substructure-interaction. To investigate the performance of the proposed controller in detail, the first example is a nonlinear single-degree-of-freedom (SDOF) system. Then, a multi-degree-of-freedom (MDOF) system with a nonlinear base isolation layer is employed in a comparative study with various reference-tracking strategies. Subsequently, the proposed control framework has been performed in a nonlinear base isolation benchmark problem; and, the control performance demonstrates the efficacy of the reference-tracking controller in a two-dimensional actuator control problem.
AB - An adaptive control framework considering servo-hydraulic dynamics is proposed for base isolation structures regarding various reference-tracking strategies. The reference-tracking-based adaptive controller is derived from a backstepping design methodology with Lyapunov stability analysis. Servo-hydraulic dynamics, including the control-structure interaction (CSI) and the actuator uncertainties, have significant effects on seismic control performance; accordingly, the critical issue of the control device dynamics-induced time-lag should be introduced in the control process. To drive a successful active control event, an inverse actuator model is integrated within the proposed controller. Such inverse dynamic models, with adaptive regulation characteristics, are expected to compensate the time-lag real-time. On the other hand, for a reference-tracking-based controller, control performance is determined by a reference model. Therefore, different reference generation strategies have been discussed in a comparative study by considering the effect of structure nonlinearity and substructure-interaction. To investigate the performance of the proposed controller in detail, the first example is a nonlinear single-degree-of-freedom (SDOF) system. Then, a multi-degree-of-freedom (MDOF) system with a nonlinear base isolation layer is employed in a comparative study with various reference-tracking strategies. Subsequently, the proposed control framework has been performed in a nonlinear base isolation benchmark problem; and, the control performance demonstrates the efficacy of the reference-tracking controller in a two-dimensional actuator control problem.
KW - Actuator dynamic compensator
KW - Benchmark problem
KW - Control-structure-interaction
KW - Model uncertainty
KW - Reference-tracking control
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U2 - 10.1016/j.engstruct.2019.109574
DO - 10.1016/j.engstruct.2019.109574
M3 - Article
AN - SCOPUS:85071255205
SN - 0141-0296
VL - 198
JO - Structural Engineering Review
JF - Structural Engineering Review
M1 - 109574
ER -