Optimal sliding mode Gaussian controller for hydropower plant with grid dynamics

Benjamin Rittenhouse, Alok Sinha

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

    Abstract

    This paper examines the performance of an optimal sliding mode Gaussian (OSG) controller for the regulation of a hydropower plant implemented in the modeling program SIMSEN. The controller is designed to regulate grid frequency and includes the dynamics of the wicket gate servo system, turbine, and grid. Simulation results for OSG control are compared to those of more traditional LQG and PI controllers. Simulation shows that OSG control provides superior performance for the nominal system and for the system with parametric uncertainties.

    Original languageEnglish (US)
    Title of host publicationNonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;
    PublisherAmerican Society of Mechanical Engineers (ASME)
    Volume3
    ISBN (Print)9780791856147
    DOIs
    StatePublished - Jan 1 2013
    EventASME 2013 Dynamic Systems and Control Conference, DSCC 2013 - Palo Alto, CA, United States
    Duration: Oct 21 2013Oct 23 2013

    Other

    OtherASME 2013 Dynamic Systems and Control Conference, DSCC 2013
    CountryUnited States
    CityPalo Alto, CA
    Period10/21/1310/23/13

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering

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  • Cite this

    Rittenhouse, B., & Sinha, A. (2013). Optimal sliding mode Gaussian controller for hydropower plant with grid dynamics. In Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; (Vol. 3). [V003T44A003] American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DSCC2013-3926