期刊文献+

风力发电机变桨系统非线性自适应鲁棒控制 被引量:1

Nonlinear Adaptive Robust Control of Wind Turbine for Pitch System
下载PDF
导出
摘要 针对风力发电机组在外界不定因素干扰下稳定性差的问题,通过自适应鲁棒控制方法,对风机功率输出稳定追踪问题进行了研究和验证。建立了具有不确定项的非线性数学模型,采用自适应鲁棒自调节的方法设计自适应律和控制器。实验证明风机系统在参数变化或受到外界干扰影响时,所设计的自适应控制器能使系统快速地追踪到期望曲线且比PID控制的精度高。 In view of the problem of poor stability of wind turbine in the case of external intert)rence, the adaptive robust control method is used to study the power output stable tracking problem of variable-speed wind turbine. The nonlinear mathematical model with uncertain terms is established and the adaptive law and the controller are designed by using the method of adaptive robust control. The experiments show that the designed adaptive controller enables the system to quickly track the expected curve and has high accuracy than PD control when the system parameter is changed or the system is interfered by external factor.
机构地区 河北工程大学
出处 《水力发电》 北大核心 2016年第9期104-107,共4页 Water Power
关键词 变桨系统 追踪控制 鲁棒自适应控制 控制器 风力发电机 variable-speed system tracking control adaptive robust control controller wind turbine
  • 相关文献

参考文献6

二级参考文献42

  • 1高峰.风力发电机组建模与变桨距控制研究[D].保定:华北电力大学,2008.
  • 2B Behran, T Ahmed - Ali, M E H Benbouzid. High - order slid- ing - mode control of variable - speed wind turbines [ J ]. IEEE Trans. On Industrial Electronics, 2009,56(9) : 3314 -3321.
  • 3B Beltran, T Ahmed - Ali, M E H Benbouzid. Sliding mode power control of variable speed wind energy conversion systems[ J]. IEEE Trans. On Energy Conversion, 2008,23(2) : 551 -558.
  • 4T Senjyu, et al. Output power leveling of wind turbine generator for all operating regions by pitch angle control[ J]. 1EEE Transac- tions on Energy Conversion, 2006,21 ( 2 ) :467 - 475.
  • 5H M Nguyen, N D Subbaram. Advanced control strategies for wind energy systems: An overview[ C ]. IEEE Pes Power Ssystems Con- ference & Exposition (PSCE). PHOENIX, AZ, USA, 2011.
  • 6张红光.大容量风电并网对电力系统安全稳定的影响[D].华北电力大学,2008.
  • 7Chen L,Ponta F L,Lago L I. Perspectives on innovative concepts in wind-power generation[J].Energy for Sustainable Development,2011,(04):398-410.
  • 8Redha A M,Dincer I,Gadalla M. Thermodynamic performance assessment of wind energy systems:An application[J].Energy,2011,(07):4002-4010.
  • 9Rugh W J,Shamma J S. Research on gain scheduling[J].Automatica,2000,(10):1401-1425.doi:10.1016/S0005-1098(00)00058-3.
  • 10Yazdi E A,Nagamune R. A parameter set division and switching gain-scheduling controllers design method for time varying plants[J].Systems & Control Letters,2011,(12):1016-1023.

共引文献109

同被引文献10

引证文献1

二级引证文献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