PID controller design for nonlinear systems represented by discrete-time local model networks

被引：12
|
作者：
Hametner, Christoph [1 ]
Mayr, Christian H. [1 ]
Kozek, Martin [1 ]
Jakubek, Stefan [1 ]
机构：
[1] Vienna Univ Technol, Inst Mech & Mechatron, Christian Doppler Lab Model Based Calibrat Method, A-1040 Vienna, Austria
来源：
INTERNATIONAL JOURNAL OF CONTROL | 2013年 / 86卷 / 09期
关键词：
PID control; local model networks; nonlinear systems; Lyapunov stability; genetic algorithm; STABILITY ANALYSIS; FUZZY CONTROL; PREDICTIVE CONTROL; IDENTIFICATION; STABILIZATION; ALGORITHM;
D O I：
10.1080/00207179.2012.759663
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 deals with proportional-integral-derivative (PID) controller design for nonlinear systems represented by local model networks. The proposed method is based on the concept of parallel distributed compensators where the scheduling of the local model network is adopted for the PID parameters. The proposed design method for nonlinear PID controllers considers closed-loop stability by means of a Lyapunov stability criterion as well as closed-loop performance. All PID parameters are determined by a multi-objective genetic algorithm (multiGA), which handles the trade-off between stability and performance. A simulation example demonstrates the effectiveness of the proposed method.
引用
收藏
页码：1453 / 1466
页数：14
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