Vibration control of an eleven-story structure with MR and TMD dampers using MAC predictive control, considering nonlinear behavior and time delay in the control system

被引:1
|
作者
Bathaei, Akbar [1 ]
Zahrai, Seyed Mehdi [2 ]
机构
[1] Univ Tehran, Sch Civil Engn, Tehran, Iran
[2] Univ Tehran, Coll Engn, Sch Civil Engn, POB 11155-4563, Tehran, Iran
关键词
Hybrid control; Model algorithmic control; Nonlinear structure; Fuzzy logic algorithm; Predictive control; FUZZY-LOGIC; MODEL; BRIDGES;
D O I
10.1016/j.istruc.2024.105853
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In the last two decades, model predictive control has made significant progress in research and industrial process control. This achievement is through the high ability of model predictive control to solve industrial process control problems in the time domain. It is applicable in many control systems, such as delayed systems, univariate and multivariable systems, non-minimum phase systems, and unstable systems. This strategy is essentially for controlling delayed systems. It is possible to create a time delay in transmitting structure movement data in the systems that use sensors and receivers of sensor-recorded data, which is a factor to reduce the efficiency of the control system and even the instability of the structure. In this study, to investigate and compensate the effect of time delay in the hybrid vibration control system, an 11-story structure with a tuned mass damper and an MR damper was used by model algorithmic control (MAC) and nonlinear behavior of the structure in the control process. The linear and nonlinear structural models are created in OpenSEES, the control system in MATLAB; and the TCP/IP connection method was used to connect two programs. The fuzzy decision system is based on accelerating and decelerating movement. The structure has been subjected to seven earthquakes with maximum accelerations of 0.1 g to 1.0 g with an incremental step of 0.1 g. According to the results of incremental dynamic analysis, the average percentage of the fuzzy control system performance reduction, considering the time delay, is 15.28% and 38.57% for the maximum displacement and base shear in the linear structure, and 8.04% and 5.97% for the nonlinear structure, respectively. The assumed time delays have been effectively overcome using the model algorithmic control system (MAC), determining the prediction horizon of the structural behavior, and optimizing the control force in the control horizon. The performance of the MAC control system has been better than the fuzzy control system and the passive control with TMD. The average improvement percentage of the results of the maximum linear and nonlinear structural displacement response is respectively equal to 10.2 and 11.8 with the MAC control system, compared to the fuzzy control system without time delay. For the maximum base shear, it is equal to 8.32 and 2.49, respectively.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Backstepping neural networks switching control for switched nonlinear time-delay system with trigonal structure form
    Long, Fei
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 609 - 613
  • [42] Adaptive Predictive PID Control Using Fuzzy Wavelet Neural Networks for Nonlinear Discrete-Time Time-Delay Systems
    Ching-Chih Tsai
    Feng-Chun Tai
    Ya-Ling Chang
    Chia-Ta Tsai
    International Journal of Fuzzy Systems, 2017, 19 : 1718 - 1730
  • [43] Adaptive Predictive PID Control Using Fuzzy Wavelet Neural Networks for Nonlinear Discrete-Time Time-Delay Systems
    Tsai, Ching-Chih
    Tai, Feng-Chun
    Chang, Ling
    Tsai, Chia-Ta
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (06) : 1718 - 1730
  • [44] Tube-based integral sliding mode predictive control scheme for constrained uncertain nonlinear time-delay system
    Di, Xin
    Su, Baili
    Su, Shicheng
    SYSTEMS SCIENCE & CONTROL ENGINEERING, 2024, 12 (01)
  • [45] Research on adaptive robust sliding mode control of Horizontal vibration of high-speed elevator car system considering time delay
    He, Qin
    Zhang, Jianwei
    Li, Hua
    Zhang, Lulu
    Zhu, Xiangshuai
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2025,
  • [46] Active mass damper system using time delay control algorithm for building structure with unknown dynamics
    Jang, Dong-Doo
    Jung, Hyung-Jo
    Moon, Yeong-Jong
    SMART STRUCTURES AND SYSTEMS, 2014, 13 (02) : 305 - 318
  • [47] Predictive Control of Nonlinear MIMO System Modelled by Fractional Hammerstein Structure Using New Optimisation Method NMHBA
    Chouaibi, Dhouha
    Chagra, Wassila
    2024 IEEE INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND EMERGENT TECHNOLOGIES, ICASET 2024, 2024,
  • [48] Stochastic fuzzy predictive fault-tolerant control for time-delay nonlinear system with actuator fault under a certain probability
    Wu, Jia
    Shi, Huiyuan
    Jiang, Xueying
    Su, Chengli
    Li, Ping
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2023, 44 (04): : 1798 - 1827
  • [49] Fuzzy decoupling predictive functional control for nonlinear hydro-turbine governing systems with mechanical time delay of the hydraulic servo system
    Zhang, Zhe
    Wang, Bin
    Mai, Teng
    Ai, Bo
    JOURNAL OF VIBRATION AND CONTROL, 2023, 29 (5-6) : 1292 - 1306
  • [50] Variable structure system based fuzzy logic control of bridge vibration using fail-safe magneto-rheological fluid dampers
    Liu, YM
    Gordaninejad, F
    Evrensel, CA
    Hitchcock, G
    Wang, XJ
    SMART STRUCTURES AND MATERIALS 2002: SMART SYSTEMS FOR BRIDGES, STRUCTURES, AND HIGHWAYS, 2002, 4696 : 219 - 227