Skip to main navigation Skip to search Skip to main content

Extended Kalman observer based Robust Control of 1DOF TRMS

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

    Abstract

    The classical control techniques such as Proportional-Integral-Derivative (PID) deliver excellent quality in the system performances with healthy sensors and actuators. However when failures of sensors and actuators occur, the control over the system goes partially or completely astray. Hence, we explore a robust control technique for the standard laboratory setup of the Twin rotor MIMO System (TRMS) which is similar, up to some extent, to a helicopter in terms of the non-linearities as well as cross interactions. Control algorithms such as robust PID and Extended Kalman (EK) observer - based robust PID are simulated and the system performance is compared with and without sensor and actuator failures. The control efforts are also considered in the tuning process to make sure they fit within the motor capabilities. An observer incorporated along with robust control algorithm for smooth operation. The results show that the implemented robust control methods along with EK observer provide very good performance by offering graceful performance degradation when facing either actuator or sensor failures.

    Original languageEnglish
    Title of host publication2019 12th Asian Control Conference, ASCC 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages521-526
    Number of pages6
    ISBN (Electronic)9784888983006
    Publication statusPublished - 01-06-2019
    Event12th Asian Control Conference, ASCC 2019 - Kitakyushu-shi, Japan
    Duration: 09-06-201912-06-2019

    Publication series

    Name2019 12th Asian Control Conference, ASCC 2019

    Conference

    Conference12th Asian Control Conference, ASCC 2019
    Country/TerritoryJapan
    CityKitakyushu-shi
    Period09-06-1912-06-19

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Control and Optimization
    • Mechanical Engineering

    Fingerprint

    Dive into the research topics of 'Extended Kalman observer based Robust Control of 1DOF TRMS'. Together they form a unique fingerprint.

    Cite this