DocumentCode :
631025
Title :
Optimal sliding mode Gaussian controller for a hydropower plant
Author :
Rittenhouse, Benjamin D. ; Sinha, Aloka
Author_Institution :
Mech. Eng. Dept., Pennsylvania State Univ., University Park, PA, USA
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
6535
Lastpage :
6540
Abstract :
This paper presents a study of an optimal sliding mode Gaussian (OSG) controller implemented in the hydraulic modeling program SIMSEN for Load Frequency Control (LFC). System Identification is used to obtain a dynamic model of the turbine in SIMSEN and is subsequently used in an observer to generate the estimated state vector and to design a sliding mode controller. Results are compared with those of traditional PI and LQG designs. It is shown that the OSG control method improves the system performance under a load disturbance.
Keywords :
Gaussian processes; control system synthesis; frequency control; hydraulic turbines; hydroelectric power; hydroelectric power stations; observers; optimal control; variable structure systems; LFC; OSG control method; SIMSEN; dynamic turbine model; hydraulic modeling program; hydropower plant; load disturbance; load frequency control; observers; optimal sliding mode Gaussian controller design; state vector estimation; system identification; system performance improvement; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580864
Filename :
6580864
Link To Document :
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