Title :
Decoupling Coordinated Control System Based on PID Neural Network for Marine Steam Power Plant
Author :
Xia, Guoqing ; Tang, Zhaodong ; Wang, Yuanhui ; Ren, Liyong
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fDate :
March 31 2009-April 2 2009
Abstract :
This paper presents decoupling coordinated control method based on PID neural network for marine steam power plant- boiler and steam turbine mainly. The boiler and steam turbine are complex nonlinear system with coupling, time-delayed, large inertial and uncertain characteristic. They are frequently in the working status of changing their working point, so conventional PID controller does not obtain satisfactory control performance. The decoupling coordinated control strategy was developed based on PID neural network to control the operation changing of marine steam power plant. Simulation results with field data from the system indicate that the decoupling coordinated control strategy more quickly tracks and more effectively controls changing of the rotate speed and inlet pressure of steam turbine with low overshoot and good accuracy in real-time control.
Keywords :
boilers; marine systems; neurocontrollers; nonlinear control systems; real-time systems; steam power stations; steam turbines; PID neural network; boiler; complex nonlinear system; conventional PID controller; decoupling coordinated control system; marine steam power plant; real-time control; steam turbine; Boilers; Control systems; Couplings; Neural networks; Nonlinear systems; Power generation; Pressure control; Real time systems; Three-term control; Turbines; PID; neural network; simulation; turbine;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.632