期刊文献+

二阶输出反馈滑模极值搜索控制方法 被引量:1

Output-feedback extremum seeking control method with second-order sliding mode
下载PDF
导出
摘要 针对一类单输入单输出(single-input-single-output,SISO)非线性极值系统的控制问题,提出了一种二阶输出反馈滑模极值搜索控制方法。考虑到此系统的状态量不可测,利用斜坡函数作为输出量的参考跟踪信号,以系统的输出跟踪误差及其微分信号构建切换函数,设计出二阶滑模极值搜索控制律。稳定性分析证明了在任意初始条件下,该方法可使系统的输出量全局收敛至其期望极值的任意小邻域内且所有状态量均是一致范数有界。仿真结果验证了该方法的有效性。 A output-feedback extremum seeking control method with second-order sliding mode is proposed for a class of single-input-single-output(SISO)nonlinear extremum systems.Considering the system's states are unmeasurable,the control method uses a simple ramp time function as the reference signal of the system's output,constructs the sliding mode manifold by using the output tracking error and its derivative,and designs the extremum seeking control law with second-order sliding mode.The stability analysis shows that a nonlinear extremum system with the proposed control method is possible to achieve an arbitrarily small neighborhood of the desired optimal point under all initial conditions,and all the states in the closed-loop system remain uniformly bounded.Simulation results are presented to illustrate the good performance of the proposed control method.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2016年第8期1892-1898,共7页 Systems Engineering and Electronics
基金 国家自然科学基金(60674090) 中国博士后科学基金(2013M542480)资助课题
关键词 非线性极值系统 输出反馈 极值搜索控制 二阶滑模控制 nonlinear extremum system output-feedback extremum seeking control second-order sliding mode control
  • 相关文献

参考文献15

  • 1Krstic M, Wang H H. Stability of extremum seeking feedback for general nonlinear dynamic systems[J]. Automatica, 2000, 36 (4) : 595 - 601.
  • 2Krstic M. Performance improvement and limitations in extremum seeking control[J]. System and Control Letters, 2000, 39 (5) : 313 - 326.
  • 3Cid-Pastor A, Martinez-Salamero L, Leyva R, et al. Design of pbotovottaic-based current sources for maximum power transfer by means of power gyrators[J]. IET Power Electronics, 2011, 4(6) : 674 - 682.
  • 4Bratcu A I, Munteanu I, Baeha S, et al. Cascaded DC-DC converter photovoltaic systems: power optimization issues[J]. IEEE Trans. on Industrial Electronics, 2011, 58(2) : 403 - 411.
  • 5Bizon N. On tracking robustness in adaptive extremum seeking control of the fuel cell power plants[J]. Applied Energy, 2010, 87(10), 3115 - 3130.
  • 6Coehran J, Kanso E, Kelly S D, et al. Source seeking for two nonholonomic models of fish locomotion[J]. IEEE Trans. on Robotics, 2009, 25(5) : 1166 - 1176.
  • 7Carnevaleb D, Astolfi A, Centioli C, et al. A new extremum seeking technique and its application to maximize RF heating on FTU[J]. Fusion Engineering and Design, 2009, 84(2) : 554 - 558.
  • 8Antonello R, Oboe R, Prandi L, et al. Automatic mode mat ching in MEMS vibrating gyroscopes using extremum-seeking control[J]. IEEE Trans. on Industrial Electronics, 2009, 56 (10) :3880- 3891.
  • 9Dower P M, Farrell P M, Nesic D. Extremum seeking control of cascaded raman optical amplifiers[J]. IEEE Trans. on Control Systems Technology, 2008, 16(3): 396- 407.
  • 10Krstic M. Toward faster adaptation in extremum seeking con- trol[C]//Proc, of the 39th IEEE Conference on Decision and Control, 1999: 4766-4771.

二级参考文献9

  • 1S Drakunov, U Ozguner, P Dix, et al. ABS control using optimum search via sliding mode[J]. IEEE Trans Control Systems Technology, 1995,3( 1 ) : 79 - 85.
  • 2B Zuo, Y A Hu. Optimizing UAV close formation flight via extremum seeking [ A ]. The 5th WCICA [ C ]. Hangzhou, China: IEEE, 2004,3302 - 3305.
  • 3S Yeung, H H Wang, M Krstic. Experimental apphcation ot extremum seeking on an axial-flow compressor[J]. IEEE Trans Control Systems Technology,2000,8(2) : 300 - 309.
  • 4M Krstic. Toward faster adaptation in extremum seeking control [A]. Proceeding of the 39th IEEE Conference on Decision and Control[C]. USA: IEEE, 1999.4766 - 4771.
  • 5Y Pan, U Ozguner, T Acarman. Stability and performance improvement of extremum seeking control with sliding mode[J]. Internation Journal of Control, 2003,76(9/10) :968 - 985.
  • 6L N Chen, K Aihara. Chaotic simulated annealing by a neural network model with transient chaos[ J ]. Neural Network, 1995, 8(6) :915 - 930.
  • 7K P Wong, S R Meikle, D G Feng, et al. Estimation of input function and kinetic parameters using simulated annealing: application in a flow model [ J ]. IEEE Trans Nuclear Science, 2002,49(3) :707 - 173.
  • 8马威,张国平,王正欧.一种基于参数扰动退火策略的神经网络全局优化新算法[J].系统工程理论方法应用,2002,11(4):314-318. 被引量:2
  • 9张强,马润年,王超,许进.具有暂态混沌动力学的神经网络及其在函数优化计算中的应用[J].自然科学进展,2003,13(1):104-107. 被引量:8

共引文献5

同被引文献18

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部