Optimal sliding mode Gaussian controller for a hydropower plant

Benjamin D. Rittenhouse, Alok Sinha

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

    5 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
    CountryUnited States
    CityWashington, DC
    Period6/17/136/19/13

      Fingerprint

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

    Cite this

    Rittenhouse, B. D., & Sinha, A. (2013). Optimal sliding mode Gaussian controller for a hydropower plant. In 2013 American Control Conference, ACC 2013 (pp. 6535-6540). [6580864]