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Identification of empirical model and tuning of pid controller for a level control system

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    Control of level in a process tank is most common in process and chemical industry. Development of model based control algorithms provides a better control under nonlinearities and disturbances. Identification is the process of estimating the model under given boundary conditions. Data driven empirical models are relatively easy to estimate and best suited within the process limitations. This paper deal with the design of an empirical model for a level control process and to tune the PID controller using different tuning method. The tuning method are compared between each other and the best control parameters are selected by analyzing the response.

    Original languageEnglish
    Title of host publicationLecture Notes in Electrical Engineering
    PublisherSpringer Verlag
    Pages385-397
    Number of pages13
    DOIs
    Publication statusPublished - 01-01-2019

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume478
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    All Science Journal Classification (ASJC) codes

    • Industrial and Manufacturing Engineering

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