Optimal sliding mode Gaussian controller for a hydropower plant

Benjamin D. Rittenhouse, Alok Sinha

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

    5 Citations (Scopus)

    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

    Controllers
    Dynamic models
    Identification (control systems)
    Turbines
    Hydraulics

    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]
    Rittenhouse, Benjamin D. ; Sinha, Alok. / Optimal sliding mode Gaussian controller for a hydropower plant. 2013 American Control Conference, ACC 2013. 2013. pp. 6535-6540
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    Rittenhouse, BD & Sinha, A 2013, Optimal sliding mode Gaussian controller for a hydropower plant. in 2013 American Control Conference, ACC 2013., 6580864, pp. 6535-6540, 2013 1st American Control Conference, ACC 2013, Washington, DC, United States, 6/17/13.

    Optimal sliding mode Gaussian controller for a hydropower plant. / Rittenhouse, Benjamin D.; Sinha, Alok.

    2013 American Control Conference, ACC 2013. 2013. p. 6535-6540 6580864.

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

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    N2 - 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.

    AB - 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.

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    Rittenhouse BD, Sinha A. Optimal sliding mode Gaussian controller for a hydropower plant. In 2013 American Control Conference, ACC 2013. 2013. p. 6535-6540. 6580864