Application of NMEC-based parameter optimization in main steam temperature control system

Author

Qingsong, Liu ; Jingpin, Yue

Author_Institution

Jiaxing Univ., Jiaxing, China

Volume

2

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

402

Lastpage

406

Abstract

Niche technology was introduced in mind evolutionary computation to classify populations, reduce repetitive search and maintain population diversity as well as improve searching efficiency. Based on parameter optimization and tuning for the main steam temperature cascade control systems in power plants with serious parameter uncertainty, multi-disturbance and large delay, the simulation results show that the niche-based mind evolutionary algorithm has the advantages of fast optimization and low computational complexity; it is very effective for PID parameter optimization and endues main steam temperature control systems with better control qualities and better system robustness.

Keywords

cascade control; evolutionary computation; steam plants; temperature control; three-term control; NMEC-based parameter optimization; PID parameter optimization; cascade control systems; main steam temperature control systemn; niche-based mind evolutionary algorithm; parameter tuning; power plants; Computational complexity; Computational modeling; Control system synthesis; Delay effects; Evolutionary computation; Power generation; Robust control; Temperature control; Three-term control; Uncertain systems; Niche; cascade control systems; mind evolutionary computation; parameter optimization;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICISYS.2009.5358355

Filename

5358355