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
  • [21] Multi-objective control of decoupled vehicle suspension systems
    Wang, J
    Wilson, DA
    PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2001, : 535 - 540
  • [22] Multi-objective optimal control of stochastic hybrid systems
    Summers, Sean
    Lygeros, John
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 1474 - 1479
  • [23] Nonlinear Extension Study for Analytical Multi-objective Control Design
    Gao, Chen
    Liu, Hugh H. T.
    Zhang, Ping
    2009 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY, 2009, : 114 - +
  • [24] Multi-objective nonlinear integrated control for turbine generator unit
    Li, XC
    Cheng, S
    Wei, H
    Ma, J
    2003 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE & EXPOSITION, VOLS 1-3, CONFERENCE PROCEEDINGS: BLAZING TRAILS IN ENERGY DELIVERY AND SERVICES, 2003, : 767 - 773
  • [25] Multi-Objective Control Systems Design with Criteria Reduction
    Wozniak, Piotr
    SIMULATED EVOLUTION AND LEARNING, 2010, 6457 : 583 - 587
  • [26] Multi-objective evolutionary technique based intelligent controllers: Application to control of multivariable nonlinear systems
    Rahmati, A
    Rashidi, F
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3704 - 3708
  • [27] Multi-objective MPC of Constrained Nonlinear Systems: A Dual-mode Tracking Control Approach
    He, Defeng
    Wang, Lei
    Zhang, Quanpeng
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 1705 - 1710
  • [28] Two layer optimization compatible control for multi-objective control systems
    Xu, LiHong
    Zou, ZhiQiang
    Hu, QingSong
    PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, 2006, : 658 - 663
  • [29] Multi-Objective Optimization on Regenerative Cooling Structure of Scramjet
    Qin A.
    Zhang D.-C.
    Wei Y.
    Zhou Z.-W.
    Zhang J.-X.
    Tuijin Jishu/Journal of Propulsion Technology, 2018, 39 (06): : 1331 - 1339
  • [30] A multi-objective regenerative braking control strategy combining with velocity optimization for connected vehicles
    Liu, Rui
    Liu, Hui
    Han, Lijin
    He, Peng
    Zhang, Yuanbo
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2023, 237 (06) : 1465 - 1474