期刊文献+

风洞系统非线性块状结构模型

Modeling of wind tunnel system based on nonlinear block-oriented model
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摘要 本文将非线性块状模型的建模思想引入风洞系统模型的建立过程中,针对主排气阀和栅指电液伺服机构具有死区非线性特性,分别用含有死区输入的Hammerstein块状模型描述其动态特性,将主排气阀和栅指机构的输出作为风洞流场的输入,建立两输入两输出多变量耦合动态模型.两个独立的Hammerstein子模型与线性动态耦合的风洞流场模型串联构成一个非线性多变量块状模型.采用自适应加权递推辨识算法在线辨识Hammerstein子模型参数,采用带有遗忘因子的递推最小二乘法辨识风洞流场模型参数.仿真与风洞现场测试结果验证了本文方法的有效性. The nonlinear block-oriented model is applied to describe the wind tunnel system in this paper.Both of the main exhaust valve and the chock finger are modeled by the Hammerstein block-oriented models with dead-zone input in consideration of the dead-zone characteristic in the electro-hydraulic servo mechanism.The wind tunnel flow field is described by a 2×2 multi-input multi-output coupling dynamic model.The inputs of the model are the positions of the main exhaust valve and the chock finger,and the outputs are the total pressure and the Mach number.Thus,the nonlinear multivariable block-oriented model of the wind tunnel is composed of two parallel Hammerstein models in series with a linear dynamic coupling model.The adaptive weighted recursive identification method is used to identify the Hammerstein model parameters,while the forgetting factor recursive least squares method is applied to identify the wind tunnel flow field model parameters.Results of simulation and wind tunnel experiments show the validity of the proposed method.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2016年第4期413-421,共9页 Control Theory & Applications
基金 国家自然科学基金项目(61333006)资助~~
关键词 风洞系统 块状模型 HAMMERSTEIN模型 多变量耦合模型 递推参数辨识 wind tunnel system block-oriented model Hammerstein model multivariable coupling model recursive parameter estimation
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参考文献17

  • 1JIN Z W, ZHAO L, RAO Z Z. Mach number prediction models based on ensemble neural networks for wind tunnel testing [C]//The 26th Chinese Control and Decision Conference. Changsha, China: IEEE, 2014, 1:1637 - 1640.
  • 2RUI W, QIN J H, MA Y Y. A novel approach for modelling of an in- jector powered transonic wind tunnel [C]//The 26th Chinese Control and Decision Conference. Changsha, China: IEEE, 2014, 1:1197 - 1200.
  • 3WANG X, LI S Y, CAI W J, et al. Multi-model direct adaptive de- coupling control with application to the wind tunnel system [J]. ISA Transactions, 2005, 44(1): 131 - 143.
  • 4QIAN Y L, GE O, MAGHAREH A, et al. Parametric identification of a servo-hydraulic actuator for real-time hybrid simulation [J]. Me- chanical Systems and Signal Processing, 2014, 48(1/2): 260 - 273.
  • 5VALDIERO A C, BAVARESCO D, ANDRIGHETTO P L. Experi- ment identification of the dead zone in proportional directional pneu- matic valves [J]. International Journal of Fluid Power, 2008, 9(1): 27 -33.
  • 6IBRIR S, XIE W E SU C Y. Adaptive tracking of nonlinear system- s with non-symmetric dead-zone input [J]. Automatica, 2007, 43(3): 522 - 530.
  • 7VOROS J. On identification of nonlinear dynamic systems using three-block cascade models [C] //International Conference on Pro- cess Control. Slovakia, Strbske Pleso: IEEE, 2013, 1:247 - 251.
  • 8VANBEYLEN L. Nonlinear LFR block-oriented model: Potential benefits and improved, user-friendly identification method [J]. IEEE Transactions on Instrumentation and Measurement, 2013, 62(12): 3374 - 3383.
  • 9VOROS J. Modeling and parameter identification of systems with multisegment piecewise-linear characteristics [J]. IEEE Transactions on Automatic Control, 2002, 47(1): 184- 188.
  • 10GIRI E BAI E W. Block-oriented Nonlinear System Identifica- tion [M]. London, United Kingdom: Springer, 2010.

二级参考文献130

  • 1李幼凤,苏宏业,褚健.子空间模型辨识方法综述[J].化工学报,2006,57(3):473-479. 被引量:46
  • 2向微,陈宗海.基于Hammerstein模型描述的非线性系统辨识新方法[J].控制理论与应用,2007,24(1):143-147. 被引量:25
  • 3NARENDRA K,GALLMAN P.An iterative method for the identification of nonlinear systems using a Hammerstein model[J].IEEE Trans on Automatic Control,1966,11(3):546-550.
  • 4STOICA P.On the convergence of an iterative algorithm used for Hammerstein system identification[J].IEEE Trans on Automatic Control,1981,26(4):967-969.
  • 5BILLINGS S.Identification of nonlinear systems-A survey[J].Proc of IEE,1980,Part D(127):272-285.
  • 6BAI E.An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems[J].Automatica,1998,34(3):333-338.
  • 7GOMEZ J C,BAEYENS E.Identification of multivariable Hammerstein systems using rational orthonormal bases[C]//Proc of the 39th IEEE Conf on Decision and Control.Sydney,Australia:Institute of Electrical and Electronics Engineers Inc,2000,1:2849-2854.
  • 8KING R E,Paraskevopoulos P N.Digital Laguerre filters[J].Circuit Theory and Applications,1977,5(1):81-91.
  • 9MAKILA P M.Laguerre series approximation of infinite dimensional systems[J].Automatica,1990,16(6):985-995.
  • 10CHRISTOS C,ZEROVOS,DUMOUT G A.Deterministic adaptive control based on Laguerre series representation[J].Int J Control,1988,48(6):2333-2359.

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