Adaptive predictive control of a heat exchanger based on a fuzzy model

被引：42

作者：

Fischer, M ^{[1
]}

Nelles, O ^{[1
]}

Isermann, R ^{[1
]}

机构：

[1] Tech Univ Darmstadt, Inst Automat Control, Lab Control Syst & Proc Automat, D-64283 Darmstadt, Germany

来源：

CONTROL ENGINEERING PRACTICE | 1998年 / 6卷 / 02期

关键词：

predictive control; fuzzy models; heat exchangers; adaptive control; nonlinear control; system identification;

D O I：

10.1016/S0967-0661(98)00001-X

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, a fuzzy model-based predictive controller is applied to the temperature control of an industrial-scale cross-flow water/air heat exchanger. The process reveals time-variant behaviour due to unmeasurable disturbances. Thus, on-line adaptation of the process model is required. First, a Takagi-Sugeno fuzzy model is identified from measurement data. Guidelines for the generation of proper excitation signals are given. For on-line adaptation of the fuzzy model, a local recursive least-squares algorithm is proposed. Since the nonlinearity of the process retains its structure, it is sufficient to adapt only the linear parameters in the rule consequents. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：259 / 269

页数：11

共 28 条

[1]

[Anonymous], 1992, Adaptive control systems

[2] An overview of fuzzy modeling for control [J].

Babuska, R ;

Verbruggen, HB .

CONTROL ENGINEERING PRACTICE, 1996, 4 (11) :1593-1606

[3] Nonlinear identification and control of a heat exchanger: A neural network approach [J].

Bittanti, S ;

Piroddi, L .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 1997, 334B (01) :135-153

[4]

Cutler CR, 1980, P JACC SAN FRANC US

[5]

ERNST EJ, 1996, PREDICTIVE CONTROL H

[6]

FISCHER M, 1997, IFAC S ART INT REAL, P445

[7]

FISCHER M, 1997, 2 INT S FUZZ LOG APP, P359

[8]

FISCHER M, 1997, IFAC INT S ART INT R, P463

[9] Extending the functional equivalence of radial basis function networks and fuzzy inference systems [J].

Hunt, KJ ;

Haas, R ;

MurraySmith, R .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1996, 7 (03) :776-781

[10] ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM [J].

JANG, JSR .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03) :665-685

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