Title :
Predictive function control based on the LS-SVM for marine steam turbine system
Author :
Zhang Yu ; Zhu Qidan
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
Due to the complication of marine steam turbine system, and the nonlinearity, uncertainty and complexity of the steam turbine model, the conventional speed regulation system can no longer meet our requirement. A predictive function control based on LS-SVM is developed, which has good robustness to disturbance and parameters variation. The results of simulation indicate that the method has strong robustness to external disturbance and parameters variation.
Keywords :
least squares approximations; predictive control; steam turbines; support vector machines; velocity control; least square support vector machines; marine steam turbine system; predictive function control; speed regulation system; Mathematical model; Predictive models; Propulsion; Shafts; Support vector machines; Trajectory; Turbines; LS-SVM; PFC; steam turbine; style;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584101