Title :
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
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;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
