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输入受限的Buck型直流变流器自适应动态面控制

Adaptive dynamic surface control of Buck DC converter with input constraint
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摘要 采用自适应动态面设计控制器,对输入受限、负载不确定的Buck型直流变换器模型进行控制.引入一阶滤波器,解决了传统反步法中方程项数的膨胀和复杂求导问题;引入一个辅助控制变量,保证系统在指定范围内输入,从而得到有效的控制器设计方案.李亚普诺夫稳定理论证明了该闭环系统是一致最终有界的,跟踪误差收敛在原点附近较小邻域内.仿真结果验证了控制器性能有效. Adaptive dynamic surface control was proposed for the uncertain DC-DC buck converter system with input constraint.The introduction of first-order filters allows the algorithm to be implemented without differentiating any model nonlinearities and suffering from the ‘ explosion’ problem.By introducing an auxiliary control variable to ensure controller output within the specified range,an effective controller design method was developed.The proposed control law can guarantee the uniform ultimate boundness of all signals in the closed-loop system via Lyapunov synthesis,and make the tracking error converge to less neighborhood nearby origin.Numerical simulations are provided to illustrate the validity of the proposed control method.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2014年第1期93-96,共4页 Journal of Dalian Maritime University
基金 国家自然科学基金资助项目(61273137 51209026 61074017) 辽宁省教育厅项目(L2013202) 中央高校基本科研业务费资助项目(3132013037)
关键词 直流变流器 自适应动态面 输入受限 控制 buck converter adaptive dynamic surface input constraint control
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参考文献5

  • 1ZHOU Wei, YE Xu-dong. Adaptive control of parallel DC-DC buck converters with uncertain parameters [ C ]/! International Conference on Control Automation Robotics&Vision. [ S. 1. ] : IEEE Press,2012 : 737 - 740.
  • 2WANG Dan, HUANG Jie. Neural network-based adap- tive dynamic surface control for a class of uncertain non- linear systems in strict-feedback form [ J ]. Transactions on Neural Networks,2005,16( 1 ) : 195 - 202.
  • 3ERICKSON R W. Fundamentals of power electronics [ M]. [ S. 1. ]:Khwer Academic Publishers, 2000.
  • 4CHEN Qiang, REN Xue-mei, OLIVER J A. Identifier- based adaptive neural dynamic surface control for uncer- tain DC-DC buck converter system with input constraint [ J]. Commun Nonlinear Sci Numer Simulat, 2012,17 (4) : 1871 - 1883.
  • 5CHEN Mou, GE S S, YOO Sang-choo. Neural network tracking control of ocean surface vessels with input satu- ration[ C]//Proeeedings of the IEEE International Con- ference on Automation and Logistics, [ S. 1. ] : IEEE Press ,2009 : 85 - 89.

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