DocumentCode :
3411869
Title :
Application of Compound Controller Based on Fuzzy Control and Support Vector Machine on Ship Boiler-Turbine Coordinated Control System
Author :
Liu, Sheng ; Li, Yanyan
Author_Institution :
Harbin Eng. Univ., Harbin
fYear :
2007
fDate :
5-8 Aug. 2007
Firstpage :
3593
Lastpage :
3598
Abstract :
Aiming at the characteristics of multivariable, strong coupling, nonlinear and big delay existing in boiler-turbine coordinated system of ship power equipment, a compound control strategy based on support vector machine inverse identification was proposed, and it was applied to the simulation research of coordinated system. This method combined the support vector machine inverse control and fuzzy control, not only utilized the merits of support vector machine inverse control that designs easily and has good robustness, but also combined the advantages of fuzzy control that responses rapidly, has good anti-jamming capability and high reliability. It ensured the controller can be controlled from a rapid and steady state, even if the support vector machine was not training well. The simulation results showed that this compound control algorithm has a high performance in control quality, and puts up good performance on dynamic response speed, static stability, restrain big overshoot and robustness, etc.
Keywords :
boilers; delays; fuzzy control; marine engineering; nonlinear control systems; ships; stability; support vector machines; compound controller; fuzzy control; multivariable control; nonlinear control; ship boiler-turbine coordinated control system; support vector machine; Control systems; Couplings; Delay; Fuzzy control; Marine vehicles; Nonlinear control systems; Robust control; Robust stability; Steady-state; Support vector machines; Compound control; Inverse control; Ship boiler-turbine coordinated system; Support Vector Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
Type :
conf
DOI :
10.1109/ICMA.2007.4304143
Filename :
4304143
Link To Document :
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