Multi-objective Nonlinear Control of Semiactive and Regenerative Systems

被引:0
|
作者
Scruggs, J. T. [1 ]
机构
[1] Duke Univ, Dept Civil & Environm Engn, Durham, NC 27708 USA
关键词
Vibration; Mechatronics; Nonlinear Control; FORCE ACTUATION NETWORKS; STRUCTURAL CONTROL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Many modern structural control devices for earthquake engineering applications are essentially passive devices with adaptive parameters. Semiactive and regenerative forcing systems are two examples. In order to achieve performance superior to time-invariant passive systems, these devices must be controlled in the nonlinear regime, and consequently it is nontrivial to develop feedback controllers which adhere to analytically-computable measures of closed-loop performance. In the context of stationary random vibration, current state-of-the-art control design methods do not guarantee to simultaneously keep the variances of a set of important structural response quantities below desired thresholds. In this paper, a generalized control design approach is presented which guarantees bounds on the variances of multiple response quantities. The method is illustrated through simulation of a six-story, base isolated structure, with two control devices. Both semiactive and regenerative designs are considered in this example.
引用
收藏
页码:726 / 731
页数:6
相关论文
共 50 条
  • [31] Multi-objective Integrated Adaptive Cruise and Regenerative Braking Control of Intelligent Electric Vehicles
    Guo J.
    Li W.
    Wang J.
    Li K.
    Guo, Jinghua (guojh@xmu.edu.cn), 1638, SAE-China (42): : 1638 - 1646
  • [32] Multi-Objective Congestion Control
    Ma, Yiqing
    Tian, Han
    Liao, Xudong
    Zhang, Junxue
    Wang, Weiyan
    Chen, Kai
    Jin, Xin
    PROCEEDINGS OF THE SEVENTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS '22), 2022, : 218 - 235
  • [33] An improved dynamic multi-objective optimization approach for nonlinear equation systems
    Ji, Jing-Yu
    Wong, Man Leung
    INFORMATION SCIENCES, 2021, 576 : 204 - 227
  • [34] An improved dynamic multi-objective optimization approach for nonlinear equation systems
    Ji, Jing-Yu
    Wong, Man Leung
    Information Sciences, 2021, 576 : 204 - 227
  • [35] A Multi-objective Optimal Nonlinear Control of Variable Speed Wind Turbine
    Dang, D. Q.
    Wang, Y.
    Cai, W.
    2009 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-3, 2009, : 17 - 22
  • [36] A multi-objective optimal PID control for a nonlinear system with time delay
    Xiong, Furui
    Qin, Zhichang
    Hernandez, Carlos
    Sardahi, Yousef
    Narajani, Yousef
    Liang, Wei
    Xue, Yang
    Schutze, Oliver
    Sun, Jianqiao
    THEORETICAL AND APPLIED MECHANICS LETTERS, 2013, 3 (06)
  • [37] Sensor Safety and Multi-Objective Satellite Control under Nonlinear Dynamics
    Miller, Kristina
    Brewer, John Matthew
    Soderlund, Alexander A.
    Phillips, Sean
    2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 4284 - 4289
  • [38] A multi-objective optimal PID control for a nonlinear system with time delay
    Furui Xiong
    Zhichang Qin
    Carlos Hernndez
    Yousef Sardahi
    Yousef Narajani
    Wei Liang
    Yang Xue
    Oliver Schtze
    Jianqiao Sun
    Theoretical & Applied Mechanics Letters, 2013, 3 (06) : 37 - 42
  • [39] Multi-objective prioritisation and reconfiguration for the control of constrained hybrid systems
    Kerrigan, EC
    Bemporad, A
    Mignone, D
    Morari, M
    Maciejowski, JM
    PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2000, : 1694 - 1698
  • [40] Multi-Objective Optimal Control for Uncertain Singularly Perturbed Systems
    Liu, Lei
    Feng, Shaofan
    IEEE ACCESS, 2021, 9 : 108340 - 108345