Model-based framework for multi-axial real-time hybrid simulation testing

被引:56
|
作者
Fermandois, Gaston A. [1 ]
Spencer, Billie F., Jr. [1 ]
机构
[1] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA
关键词
real-time hybrid simulation; multiple actuators; dynamic coupling; kinematic transformations; model-based compensation; DELAY COMPENSATION; FEEDFORWARD; PERFORMANCE; SYSTEM; STABILITY; PHASE;
D O I
10.1007/s11803-017-0407-8
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Real-time hybrid simulation is an efficient and cost-effective dynamic testing technique for performance evaluation of structural systems subjected to earthquake loading with rate-dependent behavior. A loading assembly with multiple actuators is required to impose realistic boundary conditions on physical specimens. However, such a testing system is expected to exhibit significant dynamic coupling of the actuators and suffer from time lags that are associated with the dynamics of the servo-hydraulic system, as well as control-structure interaction (CSI). One approach to reducing experimental errors considers a multi-input, multi-output (MIMO) controller design, yielding accurate reference tracking and noise rejection. In this paper, a framework for multi-axial real-time hybrid simulation (maRTHS) testing is presented. The methodology employs a real-time feedback-feedforward controller for multiple actuators commanded in Cartesian coordinates. Kinematic transformations between actuator space and Cartesian space are derived for all six-degrees-offreedom of the moving platform. Then, a frequency domain identification technique is used to develop an accurate MIMO transfer function of the system. Further, a Cartesian-domain model-based feedforward-feedback controller is implemented for time lag compensation and to increase the robustness of the reference tracking for given model uncertainty. The framework is implemented using the 1/5th-scale Load and Boundary Condition Box (LBCB) located at the University of Illinois at Urbana- Champaign. To demonstrate the efficacy of the proposed methodology, a single-story frame subjected to earthquake loading is tested. One of the columns in the frame is represented physically in the laboratory as a cantilevered steel column. For realtime execution, the numerical substructure, kinematic transformations, and controllers are implemented on a digital signal processor. Results show excellent performance of the maRTHS framework when six-degrees-of-freedom are controlled at the interface between substructures.
引用
收藏
页码:671 / 691
页数:21
相关论文
共 50 条
  • [21] Model-based Real-time Testing of Drone Autopilots
    Patelli, Andrea
    Mottola, Luca
    DRONET'16: PROCEEDINGS OF THE 2ND WORKSHOP ON MICRO AERIAL VEHICLE NETWORKS, SYSTEMS, AND APPLICATIONS FOR CIVILIAN USE, 2016, : 11 - 16
  • [22] A Multi-criteria Decision Making Framework for Real Time Model-Based Testing
    Abou Trab, Mohammad Saeed
    Alrouh, Bachar
    Counsell, Steve
    Hierons, Rob M.
    Ghinea, George
    TESTING - PRACTICE AND RESEARCH TECHNIQUES, 2010, 6303 : 194 - 197
  • [23] Model-based simulation of distributed real-time applications
    Herzner, Wolfgang
    Schlick, Rupert
    Le Guennec, Alain
    Martin, Bruno
    2007 5TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1-3, 2007, : 989 - +
  • [24] Model-Based Feedforward-Feedback Actuator Control for Real-Time Hybrid Simulation
    Phillips, Brian M.
    Spencer, Billie F., Jr.
    JOURNAL OF STRUCTURAL ENGINEERING, 2013, 139 (07) : 1205 - 1214
  • [25] Model-Based Real-Time Testing of Embedded Automotive Systems
    Skruch, Pawel
    Buchala, Gabriel
    SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-ELECTRONIC AND ELECTRICAL SYSTEMS, 2014, 7 (02): : 337 - 344
  • [26] Improving model-based compensation method for real-time hybrid simulation considering error of identified model
    Zhou, Zihao
    Li, Ning
    JOURNAL OF VIBRATION AND CONTROL, 2021, 27 (21-22) : 2523 - 2535
  • [27] A Soft Multi-Axial Force Sensor to Assess Tissue Properties in Real-Time
    Jones, Dominic
    Wang, Hongbo
    Alazmani, Ali
    Culmer, Peter R.
    2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2017, : 5738 - 5743
  • [28] Model-Based Mutation Testing of Real-Time Systems via Model Checking
    Lorber, Florian
    Larsen, Kim G.
    Nielsen, Brian
    2018 IEEE 11TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS (ICSTW), 2018, : 59 - 68
  • [29] Leveraging Real-Time Network Analyses by Extending a Model-based Framework
    Long, Anh-Toan Bui
    Ouhammou, Yassine
    Grolleau, Emmanuel
    2017 IEEE/ACS 14TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2017, : 871 - 878
  • [30] Model-based testing of a real-time adaptive motion planning system
    Abdelgawad, Mahmoud
    McLeod, Sterling
    Andrews, Anneliese
    Xiao, Jing
    ADVANCED ROBOTICS, 2017, 31 (22) : 1159 - 1176