Optimal sliding mode Gaussian controller for a hydropower plant

Benjamin D. Rittenhouse, Alok Sinha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2013 American Control Conference, ACC 2013
Pages6535-6540
Number of pages6
StatePublished - Sep 11 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: Jun 17 2013Jun 19 2013

Other

Other2013 1st American Control Conference, ACC 2013
Country/TerritoryUnited States
CityWashington, DC
Period6/17/136/19/13

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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