Title :
The research of GPC based on Hopfield network and its application in unit load system
Author :
Han, Pu ; Guo, Peng ; Wang, Dong-feng
Author_Institution :
Dept. of Power Eng., North China Electr. Power Univ., Hebei, China
Abstract :
Thermal power unit load system is a plant with coupling and constraints. general predictive control (GPC) is one kind of predictive control and has good performance in control of a plant with inertia and delay. This paper decomposes the system into two double-input and one-output systems, then uses Hopfield network to solve the control input of the load system with constraints. Simulation results prove that the new method has a good control performance.
Keywords :
Hopfield neural nets; load regulation; multivariable systems; neurocontrollers; predictive control; thermal power stations; GPC; Hopfield network; double-input systems; general predictive control; multivariable coupling; one-output systems; thermal power unit load system; unit load system; Computer networks; Constraint optimization; Control systems; Coupling circuits; Delay; Equations; Intelligent networks; MIMO; Power engineering; Predictive control;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259674
