Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration

被引:230
作者
Xu, Ling [1 ,2 ]
Chen, Lei [1 ]
Xiong, Weili [1 ]
机构
[1] Jiangnan Univ, Key Lab Adv Proc Control Light Ind, Minist Educ, Wuxi 214122, Peoples R China
[2] Wuxi Inst Commerce, Sch Internet Things Technol, Wuxi 214153, Peoples R China
基金
中国国家自然科学基金;
关键词
Parameter estimation; Step response; Newton iteration; Dynamic system; ESTIMATION ALGORITHMS; IDENTIFICATION METHOD; MODEL IDENTIFICATION; NONLINEAR-SYSTEMS; ROOT LOCUS; STATE;
D O I
10.1007/s11071-014-1801-7
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, a new Newton iterative identification method is presented for estimating the parameters of a second-order dynamic system utilizing the obtained data from the step response. In order to obtain the desired dynamic performance, a controller design method based on the root locus is presented to meet the requirement of the dynamic performance of the overshoot. The simulation results indicate that the proposed Newton iterative identification method is effective and the system response can meet the requirement of system dynamic performances.
引用
收藏
页码:2155 / 2163
页数:9
相关论文
共 56 条
[1]   Novel identification method from step response [J].
Ahmed, Salim ;
Huang, Biao ;
Shah, Sirish L. .
CONTROL ENGINEERING PRACTICE, 2007, 15 (05) :545-556
[2]   Newton-type methods on Riemannian manifolds under Kantorovich-type conditions [J].
Amat, S. ;
Argyros, I. K. ;
Busquier, S. ;
Castro, R. ;
Hilout, S. ;
Plaza, S. .
APPLIED MATHEMATICS AND COMPUTATION, 2014, 227 :762-787
[4]   Second order inverse response process identification from transient step response [J].
Balaguer, P. ;
Alfaro, V. ;
Arrieta, O. .
ISA TRANSACTIONS, 2011, 50 (02) :231-238
[5]   Transfer functions of solar collectors for dynamical analysis and control design [J].
Buzas, J. ;
Kicsiny, R. .
RENEWABLE ENERGY, 2014, 68 :146-155
[6]   Transfer function identification from phase response data [J].
De Tommasi, Luciano ;
Deschrijver, Dirk ;
Dhaene, Tom .
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2010, 64 (03) :218-223
[7]   Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique [J].
Deng, Kepo ;
Ding, Feng .
NONLINEAR DYNAMICS, 2014, 76 (02) :1195-1202
[8]  
Ding F., 2014, System identification-performances analysis for identification methods
[9]  
Ding F., 2017, SYSTEM IDENTIFICATIO
[10]   Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model [J].
Ding, Feng ;
Wang, Yanjiao ;
Ding, Jie .
DIGITAL SIGNAL PROCESSING, 2015, 37 :100-108