DocumentCode
525401
Title
The application of neural network α-th order inverse control method in boiler-turbine coordinated control system
Author
Sun, Lingfang ; Zhang, Yuheng ; Wang, Li
Author_Institution
Sch. of Autom. Eng., Northeast Dianli Univ., Jilin, China
Volume
2
fYear
2010
fDate
25-27 June 2010
Abstract
According to boiler-turbine unit, a complex non-linear MIMO system, this paper uses neural network inverse control method, which has already been successfully used in robot arm control and multi-motor control, to realize the decoupling control of this system. Then a compound single neuron PID controller is designed for this decoupled system. Simulation testing shows that this method can effectively instead of the calculate process of inverse system analytic expression of traditional feedback-linearization theory. The problem of coupling and non-linearity has been solved successfully, and the new controller has a good tracing capability.
Keywords
MIMO systems; boilers; inverse problems; large-scale systems; neural nets; nonlinear control systems; three-term control; turbines; boiler-turbine coordinated control system; complex nonlinear MIMO system; decoupling control; neural network α-th order inverse control method; neuron PID controller; simulation testing; Analytical models; Control systems; MIMO; Neural networks; Neurons; Nonlinear control systems; Robot control; Robot kinematics; System testing; Three-term control; boiler-turbine unit; coordinated control; decoupling; inverse; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location
Qinhuangdao
Print_ISBN
978-1-4244-7164-5
Electronic_ISBN
978-1-4244-7164-5
Type
conf
DOI
10.1109/ICCDA.2010.5541349
Filename
5541349
Link To Document