Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/151871
Title: NEW MODEL-BASED PID DESIGN METHODS FOR STABLE PROCESSES
Authors: DUONGHUYNH THANH TUNG
ORCID iD:   orcid.org/0000-0002-9681-7247
Keywords: Stable processes, Model-based PID
Issue Date: 16-Aug-2018
Citation: DUONGHUYNH THANH TUNG (2018-08-16). NEW MODEL-BASED PID DESIGN METHODS FOR STABLE PROCESSES. ScholarBank@NUS Repository.
Abstract: Stable process dynamics characterise a class of stable behaviours in chemical manufacturing industries in which their output responses give oscillation in case of under-damped processes when they are subject to step changes in the process input. However, few PID controller design methods are available to address many process dynamics in literature. This motivates the proposed research to develop a new tuning method for PID controller. To this end, a special input signal is designed to remove oscillation in the resulting output response and improve closed-loop responses for high order processes. Additionally, a new tuning rule for PID design is developed by extension of the existing Skogestad's Internal Model Control (SIMC) tuning method or so-called "Half-rule", leading to improved stability and better control performance of the corresponding feedback control system. Simulation studies are presented to demonstrate the effectiveness of the proposed method and its superior performance compared with the existing design method.
URI: http://scholarbank.nus.edu.sg/handle/10635/151871
Appears in Collections:Master's Theses (Restricted)

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