Title :
A novel fuzzy pid neural model control method
Author_Institution :
Acad. of Equip. Command&Technol. of the PLA, Beijing, China
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;
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
DOI :
10.1109/ICICISYS.2009.5358305
