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Development and implementation of model reference adaptive hierarchical control framework for shake table tests Chen, Zhongwei
Abstract
The structural response under earthquake excitation can be simulated by shake table tests. However, the performance of the shake table is affected by the Control-Structure Interaction (CSI) effect. In recent years, nonlinear control algorithms were developed to compensate for the CSI effect. In this study, a model reference adaptive control algorithm, named model reference adaptive hierarchical control (MRAHC) framework, is presented. MRAHC consists of a high (adaptive) and low (loop-shaping) level controller. The high-level controller develops the control algorithm on the system level, which directedly considers the inherent nonlinearity of the test specimen and the CSI effect. While the low-level controller develops the control algorithm to regulate the hydraulic system and make sure it can follow the reference signal generated by the high-level controller. MRAHC offers many advantages including the ability to handle the CSI effect and the structural nonlinearity. In addition, it allows users to quantify the structural properties such as mass, stiffness, and damping. To evaluate the performance of the MRAHC method, shake table tests of a multi-degree of freedom system with different masses were carried out. The performance of the MRAHC was compared with the direct loop-shaping control method (LC) and the traditional Proportional-Integral-Differentiation (PID) control method. The results show that the MRAHC can achieve better acceleration tracking compared to the LC and PID control methods. Especially, when the shake table has CSI effect and structural nonlinearity. Hence, the MRAHC can be used as an effective nonlinear controller for shake table tests.
Item Metadata
Title |
Development and implementation of model reference adaptive hierarchical control framework for shake table tests
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Creator | |
Supervisor | |
Publisher |
University of British Columbia
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Date Issued |
2024
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Description |
The structural response under earthquake excitation can be simulated by shake table tests.
However, the performance of the shake table is affected by the Control-Structure Interaction (CSI)
effect. In recent years, nonlinear control algorithms were developed to compensate for the CSI
effect. In this study, a model reference adaptive control algorithm, named model reference adaptive
hierarchical control (MRAHC) framework, is presented. MRAHC consists of a high (adaptive)
and low (loop-shaping) level controller. The high-level controller develops the control algorithm
on the system level, which directedly considers the inherent nonlinearity of the test specimen and
the CSI effect. While the low-level controller develops the control algorithm to regulate the
hydraulic system and make sure it can follow the reference signal generated by the high-level
controller. MRAHC offers many advantages including the ability to handle the CSI effect and the
structural nonlinearity. In addition, it allows users to quantify the structural properties such as
mass, stiffness, and damping. To evaluate the performance of the MRAHC method, shake table
tests of a multi-degree of freedom system with different masses were carried out. The performance
of the MRAHC was compared with the direct loop-shaping control method (LC) and the traditional
Proportional-Integral-Differentiation (PID) control method. The results show that the MRAHC
can achieve better acceleration tracking compared to the LC and PID control methods. Especially,
when the shake table has CSI effect and structural nonlinearity. Hence, the MRAHC can be used
as an effective nonlinear controller for shake table tests.
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Genre | |
Type | |
Language |
eng
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Date Available |
2024-04-18
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0441419
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2024-05
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Campus | |
Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International