A novel fuzzy pid neural model control method

Author

Zhefeng, Ding

Author_Institution

Acad. of Equip. Command&Technol. of the PLA, Beijing, China

Volume

2

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

675

Lastpage

678

Abstract

A kind of PID neural network control on the basis of fuzzy neural network model is proposed in this paper, which combines the fuzzy neural network model with the PID neural network. PID neural network weight is tuned online by using fuzzy neural network model and gradient descent method, and the proposed method is applied to the bed temperature control of CFB boiller produces better effects than traditional controlers in both steady-state time, non-overshot, non- oscillator, higher dynamic tracking rate, etc.

Keywords

boilers; fuzzy control; fuzzy neural nets; gradient methods; neurocontrollers; temperature control; three-term control; CFB boilers; Circulating Fluidized Bed Boiler; PID control model; bed temperature control; dynamic tracking rate; fuzzy neural network model; gradient descent method; nonoscillator rate; nonovershot rate; steady-state time; Control system synthesis; Error correction; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Lighting control; Neural networks; Neurons; Temperature control; Three-term control; PID neural network; circulatingg fluidized beds; fuzzy neural network model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5358305

Filename

5358305