Title :
Methods to improve accuracy of typical controllers based on predictive algorithms
Author :
Pikina, G.A. ; Pashchenko, F.F. ; Pashchenko, A.F.
Author_Institution :
Minist. of Educ. of Russia, Moscow Power Eng. Inst., Moscow, Russia
Abstract :
The paper addresses ways to design typical predictive control algorithms and analyzes and compares the proposed algorithms with traditional ones. Replacement of standard algorithms for control of variables in power engineering plants by predictive algorithms is found to considerably improve the control performance and put microprocessors to more efficient use.
Keywords :
control system synthesis; microprocessor chips; power generation control; power plants; predictive control; microprocessor; power engineering plants; typical controller accuracy improvement; typical predictive control algorithm design; Algorithm design and analysis; Forecasting; Power engineering; Prediction algorithms; Process control; Regulators;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566441
