A novel NN-Fuzzy-SPC feedback control system

Li Ren Wang*, Hefin Rowlands

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i gynhadleddadolygiad gan gymheiriaid

2 Dyfyniadau (Scopus)

Crynodeb

It is a difficult challenge to develop a feedback control system for Statistical Process Control (SPC) because there is no effective method that can be used to accurately calculate the magnitude of the feedback control actions in traditional SPC. Suitable feedback adjustments are normally generated from the experiences of process engineers. In this paper, fuzzy logic and neural network (NN) techniques are used to develop a NN-Fuzzy-SPC control system. The fuzzy inference is used to generate the numeric feedback control actions and the neural network optimises the fuzzy membership functions in order to increase control accuracy. A combined forecaster with EWMA chart and digital filtering is also developed for the NN-Fuzzy-SPC system to reduce the control delay. Simulation results show that the NN-Fuzzy-SPC system can provide high control accuracy and satisfactorily short control delay.

Iaith wreiddiolSaesneg
TeitlIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
CyhoeddwrInstitute of Electrical and Electronics Engineers
Tudalennau417-423
Nifer y tudalennau7
Cyfrol1
ISBN (Argraffiad)0-7803-7241-7
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2001
Cyhoeddwyd yn allanolIe
Digwyddiad8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001) - Antibes-Juan les Pins, Ffrainc
Hyd: 15 Oct 200118 Oct 2001

Cynhadledd

Cynhadledd8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001)
Gwlad/TiriogaethFfrainc
DinasAntibes-Juan les Pins
Cyfnod15/10/0118/10/01

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