Title :
Neural PID control strategy for superheated steam temperature based on minimum entropy
Author :
Jianhua Zhang ; Fenfang Zhang ; Hong Wang
Author_Institution :
North China Electr. Power Univ., Beijing, China
Abstract :
A novel control algorithm is applied to control superheated steam temperature in a power plant. Since the disturbances existing in practical processes are probably non-Gaussian, the performance index of system is constructed by minimizing the entropy. The optimal parameters of controller are obtained and applied to control superheated steam temperature in a power plant. The simulation results verify its effectiveness.
Keywords :
minimum entropy methods; neurocontrollers; power station control; steam power stations; temperature control; three-term control; minimum entropy; neural PID control strategy; power plant; superheated steam temperature; Adaptation models; Computational modeling; Computers; Entropy; Fluid flow; Indexes; Jacobian matrices;
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2011 International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4577-1698-0
