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Controller Design and Stability Analysis Using State Space Approach for Magnetic Levitation System

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

    Abstract

    In this research endeavor, the primary objective is to craft a dynamic nonlinear model for the Magnetic Levitation System. The proposed approach involves the development of both nonlinear and linear state-space controllers to enhance the system's control mechanisms. The linear controller is meticulously designed through the process of linearization around the equilibrium point. In contrast, the nonlinear controller is formulated following feedback linearization, wherein a nonlinear state-space transformation is adeptly employed to achieve an exact linearization of the system. For the linear controller, a full-state feedback approach is adopted. This design is then rigorously compared with its nonlinear counterpart, which incorporates a full-state feedback mechanism alongside a nonlinear observer. For drawing a conclusion on stability, a Lyapunov stability analysis was performed.

    Original languageEnglish
    Title of host publication2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350379525
    DOIs
    Publication statusPublished - 2024
    Event2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024 - Gwalior, India
    Duration: 07-12-202408-12-2024

    Publication series

    Name2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024

    Conference

    Conference2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024
    Country/TerritoryIndia
    CityGwalior
    Period07-12-2408-12-24

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Instrumentation

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