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基于Hammerstein模型的非线性建模与预测控制 被引量:2

Nonlinear Modeling and Model Predictive Control Based on Hammerstein Model
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摘要 所有实际的运动机构中都包含一定的非线性,对其进行精确的建模和控制是运动控制中具有挑战性的难题。文中提出了基于粒子群优化算法的RLS-PSO系统辨识建模方法,所得伺服转台模型具有良好拟合效果;对该模型提出改进的两步法,应用基于预测函数控制(Predictive functional control,PFC)的全局优化预测控制;伺服转台的仿真运行结果表明跟踪效果良好。 There are nonlinearities almost in all of the kinematic mechanisms. The accurate modeling and precise control are both challenging problems in the field of kinematic control. An approach to RLS-PSO parameter identification based on particle swarm optimization is approved, which gets a great model of servo turntable. The global optimization predictive controller based on predictive functional control (PFC) is applied to the servo turntable through modified two-step method. And the simulation results show the effectiveness of modeling method and control algorithm of the servo system.
出处 《南京航空航天大学学报》 EI CAS CSCD 北大核心 2014年第1期165-169,共5页 Journal of Nanjing University of Aeronautics & Astronautics
基金 国家自然科学基金(51177001)资助项目 安徽大学青年骨干教师(33010026)资助项目 安徽大学青年科研基金(02300305-33050047)资助项目
关键词 HAMMERSTEIN模型 参数辨识模型 预测控制 伺服系统 Hammerstein model parameter identification model predictive control servo system
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参考文献10

  • 1Bai Erwei, Li Kang. Convergence of the iterative al- gorithm for a general Hammerstein system identifica tion[J]. Automatica, 2010,11 (46) : 1891-1896.
  • 2Dolanc G, Strmnik S. Identi{ication of nonlinear systems using a piecewise-linear Hammerstein model [J]. Systems Control Letters, 2005,54 (2):145- 158.
  • 3Dolanc G, Strmnik S. Design of a nonlinear control- ler based on a piecewise-linear Hammerstein model [J]. Systems Control Letters, 2008,57 (4)332 339.
  • 4Voros J. Modeling and parameter identification of systems with multi segment piecewise linear charac- teristics[J]. IEEE Trans Automat, 2002,47 ( 1 ) .. 184- 188.
  • 5Zhang Qian, Wang Qunjing, Li Guoli. A nonlinear Hammerstein model and its parameters identification using RLS-PSO for radar antenna control systems [J]. Journal of Computational Information Systems, 2012,8(21) :8993 9002.
  • 6Bai E W, Li D. Convergence of the iterative Ham- merstein system identification algorithm [J]. IEEE Trans Automat Control,2004,49(11) : 1929 1940.
  • 7邹志云,郭宇晴,王志甄,刘兴红,于蒙,张风波,郭宁.非线性Hammerstein模型预测控制策略及其在pH中和过程中的应用[J].化工学报,2012,63(12):3965-3970. 被引量:12
  • 8Zavala V M, Biegler L T. The advanced-step NMPC controller.. Optimality, stability and robustness[J]. Automatica, 2009,45 ( 1 ) : 86-93.
  • 9何德峰,俞立.约束Hammerstein系统非线性预测控制及其在聚丙烯牌号切换中的仿真研究[J].自动化学报,2009,35(12):1558-1563. 被引量:6
  • 10Zumoffen D, Garyulo L, Basualdo M, et al. Predic- tive functional control applied to multicomponent batch distillation column[J]. Computer Aided Chem ical Engineering,2005,20(15) .. 1465-1470.

二级参考文献25

  • 1朱学峰,Sebo.,DE.采用Hammerstein模型的非线性预测控制[J].控制理论与应用,1994,11(5):564-575. 被引量:22
  • 2荚亮,梁军,王文庆,王靖岱.聚烯烃连续生产过程中产品牌号切换的研究述评[J].化工进展,2006,25(7):780-784. 被引量:4
  • 3Alvarez H,Londono C. pH neutralization process as abenchmark for testing nonlinear controllers [J]. Ind. Eng. Chern. Res.,2001,40: 2467-2473.
  • 4Shinskey F G. Process Control Systems - Application,Design and Tuning [M]. 4th ed. New York: McGraw Hill,1996: 162-166.
  • 5Qin S J,Badgwell T A. A survey of industrial model predictive control technology [J]. Control Engineering Practice,2003,11: 733-764.
  • 6Froisy J B. Model predictive control-building a bridge between theory and practice [J]. Computers &. Chemical Engineering,2006,30 (10/11/12): 1426-1435.
  • 7Cannon M. Efficient nonlinear model predictive control algorithms [J]. Annual Reviews in Control,2004,28 (2): 229-237.
  • 8Garcia C E. Quadratic dynamic matrix control of nonlinear processes [CJ. San Francisco: AIChE Annual Meeting,1984.
  • 9Zavala V M,Biegler L T. The advanced-step NMPCcontroller: optimality,stability and robustness [J]. Automatica,2009,45(1): 86-93.
  • 10Gattu G,Zafiriou E. Nonlinear quadratic dynamic matrix control with state estimation [J]. Ind. Eng. Chern. Res.,1992,31: 1096-1104.

共引文献16

同被引文献27

  • 1邢宗义,胡维礼,贾利民.基于T-S模型的模糊预测控制研究[J].控制与决策,2005,20(5):495-499. 被引量:34
  • 2Freeman R A,Kokotovic P V.Robust nonlinear control design[M].Boston:Birkhaüser Inc,2008.
  • 3Sepulchre R,Jankovic M,Kokotovic P V.Constructive nonlinear control[M].New York:Springer-Verlag,1997.
  • 4Block A M,Baillieul J,Crouch P,et al.Nonholonomic mechanics and control[M].New York:Springer,2003.
  • 5Cutler C,Ramaker B.Dynamic matrix control—A computer control algorithm[C]// Joint Automatic Control Conference.San Francisco,CA:American Automation Control Council,1980:5-8.
  • 6Clarke D,Mohtadi C,Tuffs P.Generalized predictive control—Part Ⅰ:The basic algorithm[J].Automatica,1987,23:137-148.
  • 7Clarke D,Mohtadi C,Tuffs P.Generalized predictive control—Part Ⅱ:Extensions and interpretations[J].Automatica,1987,23:149-160.
  • 8Qin S,Badgwell T.A survey of industrial predictive control technology[J].Control Engineering Practice,2003,11:733-764.
  • 9Morari M,Lee J,Model predictive control:Past,present and future[J].Computers and Chemical Engineering,1999,23:667-682.
  • 10Meadows E,Rawlings J.Receding horizon control with an infinite horizon[C]//Proc ACC.San Francisco:American Automatic Control Council,1993:2926-2930.

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