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实时混合仿真的自适应和鲁棒控制策略。

An Adaptive and Robust Control Strategy for Real-Time Hybrid Simulation.

机构信息

Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.

Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University, Nanjing 211189, China.

出版信息

Sensors (Basel). 2022 Aug 31;22(17):6569. doi: 10.3390/s22176569.

DOI:10.3390/s22176569
PMID:36081029
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9460875/
Abstract

A real-time hybrid simulation (RTHS) is a promising technique to investigate a complicated or large-scale structure by dividing it into numerical and physical substructures and conducting cyber-physical tests on it. The control system design of an RTHS is a challenging topic due to the additional feedback between the physical and numerical substructures, and the complexity of the physical control plant. This paper proposes a novel RTHS control strategy by combining the theories of adaptive control and robust control, where a reformed plant which is highly simplified compared to the physical plant can be used to design the control system without compromising the control performance. The adaptation and robustness features of the control system are realized by the bounded-gain forgetting least-squares estimator and the sliding mode controller, respectively. The control strategy is validated by investigating an RTHS benchmark problem of a nonlinear three-story steel frame The proposed control strategy could simplify the control system design and does not require a precise physical plant; thus, it is an efficient and practical option for an RTHS.

摘要

实时混合仿真 (RTHS) 是一种很有前途的技术，可以通过将复杂或大规模结构划分为数值和物理子结构，并对其进行网络物理测试来研究它。由于物理和数值子结构之间存在额外的反馈，以及物理控制装置的复杂性，因此 RTHS 的控制系统设计是一个具有挑战性的课题。本文提出了一种新的 RTHS 控制策略，该策略结合了自适应控制和鲁棒控制的理论，其中可以使用与物理装置相比高度简化的改进装置来设计控制系统，而不会影响控制性能。控制系统的自适应和鲁棒性特征分别通过有界增益遗忘最小二乘估计器和滑模控制器来实现。该控制策略通过研究一个非线性三层钢框架的 RTHS 基准问题进行了验证。所提出的控制策略可以简化控制系统设计，并且不需要精确的物理装置；因此，对于 RTHS 来说，它是一种高效实用的选择。

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