An optimal design of fuzzy controller for high power oil transfer system

Author

Liu, Jun ; Liu, Ding ; Zhang, Guang-Hui ; Wu, Pu-sheng

Author_Institution

Sch. of Autom. & Inf. Eng., Xi´´an Univ. of Technol., Xi´´an Shaanxi Province, China

Volume

2

fYear

2002

fDate

2002

Firstpage

699

Abstract

Owing to uncertainties and nonlinearity of high power oil transfer systems and the coupling among inlet pressure, outlet pressure and flow of the pipeline, it is difficult to realize optimal and cooperative control by traditional PID controllers. According to the features of the high power oil transfer system, a novel control strategy that is composed of two fuzzy controllers is proposed in this paper. Based on an improved genetic algorithm, the membership functions and the blending factors are optimized. Simulation results and practical operations show the robustness and effectiveness of the new control strategy.

Keywords

control system synthesis; fuzzy control; genetic algorithms; nonlinear control systems; oil technology; optimal control; robust control; uncertain systems; blending factors; control strategy; fuzzy controller; genetic algorithm; high power oil transfer system; inlet pressure; membership functions; nonlinearity; optimal design; outlet pressure; pipeline flow; robustness; simulation results; uncertainties; Control systems; Couplings; Fuzzy control; Fuzzy systems; Nonlinear control systems; Optimal control; Petroleum; Pipelines; Pressure control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1174438

Filename

1174438