GFHM-PID Controller Analysis and Design (II)

Author

Li, Ming ; Sun, Yunlan ; Qin, Meng ; Zhang, Huaguang

Author_Institution

Sch. of Eng., Ocean Univ. of China, Qingdao

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4016

Lastpage

4020

Abstract

The PID controller based on generalized fuzzy hyperbolic model (GFHM-PID) can be considered as a combination of linear PID layer and fuzzy logic layer. Respectively, two-level PID tuning strategy was proposed. The linear PID parameters may be tuned firstly. Then the nonlinear characteristics of fuzzy logic layer were tuned so that the control performance will be improved. The tuning strategy of fuzzy logic layer was extracted from experience data by rough sets theory. Finally, the tuning strategy was applied to air-conditioner control system. The simulation results show the effective of proposed tuning strategy

Keywords

air conditioning; control nonlinearities; control system analysis; control system synthesis; fuzzy control; fuzzy logic; rough set theory; three-term control; GFHM-PID controller analysis; GFHM-PID controller design; air-conditioner control system; fuzzy logic layer; generalized fuzzy hyperbolic model; linear PID layer; linear PID parameters; nonlinearity variation; rough set theory; two-level PID tuning; Automatic control; Automation; Educational institutions; Fuzzy control; Fuzzy logic; Inspection; Oceans; Rough sets; Sun; Three-term control; Generalized Fuzzy Hyperbolic Model(GFHM); Nonlinearity Variation; PID Controller; Rough Sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713127

Filename

1713127