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