Stochastic distribution control theory applied in superheated steam temperature systems

Author

Jianhua Zhang ; Fenfang Zhang ; Guolian Hou ; Jinfang Zhang

Author_Institution

Beijing Key Lab. of Ind. Process Meas. & Control New Technol. & Syst., Beijing, China

fYear

2011

fDate

22-24 July 2011

Firstpage

5231

Lastpage

5234

Abstract

A novel control algorithm is applied to control superheated steam temperature in power plants. Since the disturbances existed in practical processes are probably non-Gaussian, the performance index is constructed by minimizing the entropy and mean value of tracking error besides the constraints on control energy. The optimal control solution is given and applied to control superheated steam temperature in a power plant. The simulation results verify its effectiveness.

Keywords

error analysis; heat transfer; performance index; steam plants; steam power stations; stochastic programming; temperature control; control energy; entropy; error tracking; nonGaussian process; optimal control solution; performance index; power plant; stochastic distribution control theory; superheated steam temperature system; Entropy; Performance analysis; Process control; Stochastic processes; Temperature control; Temperature distribution; Temperature measurement; Minimum entropy; Probability density function (PDF); Superheated steam temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2011 30th Chinese

Conference_Location

Yantai

ISSN

1934-1768

Print_ISBN

978-1-4577-0677-6

Electronic_ISBN

1934-1768

Type

conf

Filename

6001148