Learning predictive control for Gas Heat Pump

被引：0

作者：

Hasegawa, Y ^{[1
]}

Nakano, T ^{[1
]}

Fukuda, T ^{[1
]}

Vachkov, G ^{[1
]}

Komori, T ^{[1
]}

Matsumoto, K ^{[1
]}

机构：

[1] Nagoya Univ, Dept Micro Syst Engn, Chikusa Ku, Nagoya, Aichi 4648603, Japan

来源：

IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4: 21ST CENTURY TECHNOLOGIES AND INDUSTRIAL OPPORTUNITIES | 2000年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Predictive control algorithm is effective for systems which have large time constants and dead times. The response models are necessary in order to predict the future responses. In the control of Gas Heat Pump which is an air-conditioning system, the model parameters of the transfer functions are frequently changed according to operating conditions, In this paper, we propose a learning predictive control algorithm, which determines control input using the identified system models. These models are, stored in a fuzzy map and reused to infer the system,response in new operating conditions based on past experienced conditions.

引用

页码：1062 / 1067

页数：6

共 11 条

[1] GENERALIZED PREDICTIVE CONTROL .1. THE BASIC ALGORITHM [J].

CLARKE, DW ;

MOHTADI, C ;

TUFFS, PS .

AUTOMATICA, 1987, 23 (02) :137-148

[2] Adaptive internal model control design and stability analysis [J].

Datta, A ;

Ochoa, J .

AUTOMATICA, 1996, 32 (02) :261-266

[3]

FAIRCHILD PD, 1990, HEAT PUMPS, P231

[4]

FICARRA MC, IECON 99 P

[5]

FISCHER M, SYSID 97 SICE

[6]

FUKUDA T, 1990, HEAT PUMPS, P57

[7]

Hu J., 1998, Transactions of the Society of Instrument and Control Engineers, V34, P977

[8] ADAPTIVE GENERALIZED PREDICTIVE CONTROLLER FOR MIMO SYSTEMS [J].

KINNAERT, M .

INTERNATIONAL JOURNAL OF CONTROL, 1989, 50 (01) :161-172

[9]

Ljung, 1987, SYSTEM IDENTIFICATIO, P176

[10]

VACHKOV G, 1998, P WORLD AUT C ANCH A

← 1 2 →