A combined PID/adaptive controller for a class of nonlinear systems

被引:37
作者
Huang, SN [1 ]
Tan, KK [1 ]
Lee, TH [1 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 119260, Singapore
关键词
adaptive control; neural networks; nonlinear systems; PID control;
D O I
10.1016/S0005-1098(00)00195-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a robust control method for a class of nonlinear systems, based on a mixed PID/adaptive algorithm. The nonlinear system is considered as a second-order linear dominant model with an unmodeled dynamics that is possibly nonlinear and time-varying. The PID part of the controller is applied to stabilize the dominant model. The adaptive part of the controller is used to compensate for the deviation of the system characteristics from the dominant linear model for performance enhancement. The advantage of our controller is that it can cope with strong nonlinearities in the system without abandoning the PID controller which is well-known to many engineers. The proposed control scheme guarantees the boundedness of the system states and parameter estimation. An example is given to illustrate the effectiveness of the proposed controller. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:611 / 618
页数:8
相关论文
共 15 条
[1]  
Astrom K.J., 1993, Control Eng. Pract, V1, P699, DOI [10.1016/0967-0661(93)91394-C, DOI 10.1016/0967-0661(93)91394-C]
[2]  
Astrom K. J., 1988, AUTOMATIC TUNING PID
[3]   Dynamic structure neural networks for stable adaptive control of nonlinear systems [J].
Fabri, S ;
Kadirkamanathan, V .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1996, 7 (05) :1151-1167
[4]   REFINEMENTS OF THE ZIEGLER-NICHOLS TUNING FORMULA [J].
HANG, CC ;
ASTROM, KJ ;
HO, WK .
IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS, 1991, 138 (02) :111-118
[5]   MULTILAYER FEEDFORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS [J].
HORNIK, K ;
STINCHCOMBE, M ;
WHITE, H .
NEURAL NETWORKS, 1989, 2 (05) :359-366
[6]   Autotuning for model-based PID controllers [J].
Huang, HP ;
Chen, CL ;
Lai, CW ;
Wang, GB .
AICHE JOURNAL, 1996, 42 (09) :2687-2691
[7]  
Kristic M., 1995, Nonlinear and Adaptive Control Design
[8]   CONTROLLING NONLINEAR TIME-VARYING SYSTEMS VIA EULER APPROXIMATIONS [J].
MAREELS, IMY ;
PENFOLD, HB ;
EVANS, RJ .
AUTOMATICA, 1992, 28 (04) :681-696
[9]   Fast Learning in Networks of Locally-Tuned Processing Units [J].
Moody, John ;
Darken, Christian J. .
NEURAL COMPUTATION, 1989, 1 (02) :281-294
[10]   INTERNAL MODEL CONTROL .4. PID CONTROLLER-DESIGN [J].
RIVERA, DE ;
MORARI, M ;
SKOGESTAD, S .
INDUSTRIAL & ENGINEERING CHEMISTRY PROCESS DESIGN AND DEVELOPMENT, 1986, 25 (01) :252-265