期刊文献+

基于多变量ESA的反演控制方法在微喷十字梁系统中的应用

Application of Back-Stepping Control Based on Multi-Parameter ESA for Jet Cross Beam System
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摘要 针对传统参数调节方法耗时长、盲目性大的不足,提出了基于多变量极值搜索算法(ESA)的反演控制器设计方法,并应用Lyapunov理论对其稳定性进行了分析。利用多变量ESA在线寻找代价函数极值而获得优化参数值,并通过多通道极值搜索渠道对各参数同时进行自适应寻优调节,克服了参数间的耦合作用,简化了参数调节过程,并缩短了系统收敛时间。仿真结果表明,该方法可以较快地找到优化参数值,有效缩短了系统收敛时间。 For the case that the traditional parameter adjustment consumes too much time,a method using the multi-parameter extremum seeking(ESA) to tune the back-stepping controller parameters was presented,and its stability was analyzed by Lyapunov theory.The multi-parameter ESA could obtain the optimized value of parameters by the multiple channels design.Therefore the utilization of the multi-parameter ESA could simplify the process of parameter adjustment and shorten the converging time of the system.The simulation results demonstrated that the back-stepping controller based on the multi-parameter ESA was effective in shortening the converging time of the system.
出处 《海军航空工程学院学报》 2011年第3期246-250,共5页 Journal of Naval Aeronautical and Astronautical University
基金 国家自然科学基金资助项目(60674090)
关键词 多变量ESA 反演控制器 稳定性分析 参数优化 multi-parameter ESA back-stepping control stability analysis parameters optimization
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参考文献10

  • 1胡云安,左斌.应用极值搜索算法优化无人机近距离编队飞行[J].飞行力学,2005,23(3):37-40. 被引量:4
  • 2PAOLO BINETTI, KARTIK B ARIYUR, MIROSLAV KRSTIC, FRANCO BERNELLI. Control of formation flight via extremum seeking[C]//Proceedings of the American Control Conference. 2002:2848-2853.
  • 3YU HAI, OZGUNER U. Extremum-seeking Control Strategy for ABS systems with Time Delay[C]// Proceedings of the American Control Conference. Anchorage, 2002:3753-3758.
  • 4WANG HSIN-HSIUNG, YEUNG SIMON, MIROSLAV KRSTIC. Experimental application of extremum seeking on an axial-flow compressor[C]//Proceedings of the American Control Conference. 1998:1989-1993.
  • 5NICK KILLINGSWORTH, MIROSLAV KRSTIC. Auto-tuning of PID controllers via extremum seeking[C]//American Control Conference. Portland, OR, USA, 2005:2251-2256.
  • 6NICK KILLINGSWORTH, MIROSLAV KRSTIC. PID tuning using extremum seeking[J]. IEEE Control Systems Magazine, 2006,26(1):70-79.
  • 7DONG W J, HU Y A, ZUO B. Backstepping Control Optimized by the Multi-parameter ESA[C]//2010 International Conference on Artificial Intelligence and Education. Hangzhou, China, 2010:155-158.
  • 8WALSH G C. On the Application of Multi-parameter Extremum Seeking Control[C]//Proceedings of the American Control Conference. Chicago, 2000:411-415.
  • 9李益国,沈炯.基于极值搜索控制的电站锅炉在线燃烧优化[J].热能动力工程,2009,24(4):466-469. 被引量:4
  • 10左斌.极值搜索算法研究与应用[D].烟台:海军航空工程学院.2005.

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