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
来源
2010 AMERICAN CONTROL CONFERENCE | 2010年
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
  • [41] Multi-Objective Optimal Control for Uncertain Singularly Perturbed Systems
    Liu, Lei
    Feng, Shaofan
    IEEE ACCESS, 2021, 9 : 108340 - 108345
  • [42] Design and control of electrotechnological systems A multi-objective optimization approach
    Pleshivtseva, Yuliya
    Rapoport, Edgar
    Nacke, Bernard
    Nikanorov, Alexander
    Di Barba, Paolo
    Forzan, Michele
    Sieni, Elisabetta
    Lupi, Sergio
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2020, 39 (01) : 239 - 247
  • [43] Multi-objective optimal control of vibratory energy harvesting systems
    Scruggs, J. T.
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2008, PTS 1 AND 2, 2008, 6932
  • [44] Nonlinear Excitation Control Design of Generator Based on Multi-objective Feedback
    Chen, Dengyi
    Li, Xiaocong
    Liu, Song
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2018, 13 (06) : 2187 - 2195
  • [45] Dynamic multi-objective matrix control for a class of switched systems
    Thamallah, Ali
    Sakly, Anis
    M'Sahli, Faouzi
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2021, 43 (10) : 2229 - 2245
  • [46] Multi-objective control of semi-active suspension systems
    Lucente, G
    Rossi, C
    ISIE 2005: Proceedings of the IEEE International Symposium on Industrial Electronics 2005, Vols 1- 4, 2005, : 399 - 404
  • [47] Design of Multi-objective Control Systems with Optimal Failure Tolerance
    Mesbah, Ali
    Braatz, Richard D.
    2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 2969 - 2974
  • [48] MULTI-OBJECTIVE STATE FEEDBACK CONTROL FOR LINEAR DELAY SYSTEMS
    Xie, Wei
    Eisaka, Toshio
    ASIAN JOURNAL OF CONTROL, 2010, 12 (04) : 542 - 548
  • [49] A multi-objective criterion and stability analysis for neural adaptive control of nonlinear MIMO systems: an experimental validation
    Atig, Asma
    Druaux, Fabrice
    Lefebvre, Dimitri
    Ben Abdennour, Ridha
    INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL, 2022, 16 (3-4) : 433 - 458
  • [50] Nonlinear stochastic controllers for semiactive and regenerative structural systems, with guaranteed quadratic performance margins
    Scruggs, Jeffrey T.
    Taflanidis, Alexandros A.
    Iwan, Wilfred D.
    PROCEEDINGS OF THE 8TH BIENNIAL CONFERENCE ON ENGINEERING SYSTEMS DESIGN AND ANALYSIS, VOL 3, 2006, : 487 - 495