Estimation of turbine shaft torques using observer

T. Kakinoki*, R. Yokoyama, G. Fujita, T. Nakano, K. Koyanagi, T. Funabashi, H. Nara

*Corresponding author for this work

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

    1 Citation (Scopus)

    Abstract

    Shaft torque is proportional to the shaft twist, which is caused by angle difference between both ends. However, observing the angle difference in an actual generation system is difficult. Since measuring rotational speed of the shaft ends is relatively easy, shaft torque is estimated effectively the rotational speed for shaft torque reduction. This paper proposes a shaft torque observer for rotating machine, and discusses the relationship between the observation signals and the accuracy of estimation. A shaft torque reduction control system is developed by using the excitation control based on the estimate of the observer. An in-house 7-masses system comprised of joints, shear-pins, and an exciter is used for model and Park's equation for synchronous machine is employed. An identity observer is used for the estimation, feeding back the error between the target output and the observer output. Linear quadratic regulator theory (LQR) is employed to design the observer gain, which provides acceptable estimation.

    Original languageEnglish
    Title of host publication2001 IEEE Porto Power Tech Proceedings
    Pages81-84
    Number of pages4
    Volume2
    DOIs
    Publication statusPublished - 2001
    Event2001 IEEE Porto Power Tech Conference - Porto
    Duration: 2001 Sept 102001 Sept 13

    Other

    Other2001 IEEE Porto Power Tech Conference
    CityPorto
    Period01/9/1001/9/13

    Keywords

    • AVR
    • LQR
    • Observer
    • Shaft torsion
    • Torque estimation

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Fuel Technology

    Fingerprint

    Dive into the research topics of 'Estimation of turbine shaft torques using observer'. Together they form a unique fingerprint.

    Cite this