OPERATOR TRAINING SIMULATOR (OTS) AND PID CONTROLLER DESIGN FOR MINI PLANT FLOW USING DCS

Nowadays, control system is applied in most of industrial activities which operation is commonly related to the operator's role. Operator is a person who has role to monitor and control the process condition of a plant to make sure it is still in a desirable range. Training for operators is nee...

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Bibliographic Details
Main Author: SRI SURATMI (NIM : 13311035); SITI AMINAH FAIRUZ ANNISA (NIM : 13311074); Pembimbing : Dr. Ir., MARIA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/20266
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Nowadays, control system is applied in most of industrial activities which operation is commonly related to the operator's role. Operator is a person who has role to monitor and control the process condition of a plant to make sure it is still in a desirable range. Training for operators is needed in order to increase the understanding of process characteristic and outcome of the control action. One of the training media that can be used is Operator Training Simulator (OTS). OTS is <br /> <br /> <br /> an application device which is able to represent the actual process of a plant. Due to the importance of operator's role and control system in process industry, a design of OTS and controller become the topic of this final project. This OTS and controller are designed for mini plant flow which is located at Instrumentation and <br /> <br /> <br /> Control System Management Laboratory of Engineering Physics Department ITB as students' learning media for process variables metering and control system implementation. DCS Centum VP is used for the simulator design and controller validation. Type of controller designed for this final project is Proportional Integral Derivative (PID) controller for mixing water temperature control using Ziegler-Nichols open loop tuning method. <br /> <br /> <br /> Simulator is designed at 25 Hz pump frequency with process identification for system modeling as a preliminary step. The validation is done at start up condition to obtain the transient response of the system. Result of the validation is represented by error between simulation and measurement for some process <br /> <br /> <br /> variables. The SSE result for level and temperature of water in hot reservoir, level and temperature of water in cold reservoir, and mixing water temperature variable <br /> <br /> <br /> respectively are 0.0007, 0.4781, 0.0004, 2.2715, and 0.0618. Identified process parameters in control area which are represented as the value of gain (K), time constant (T), and delay time (td) respectively are 1.22, 22.99 second, and 22.67 second. While tuning result of the P, I, and D control parameter are 0.96, 43.34 second, and 10.84 second. Validated controller using set point tracking which varies from 24.53 oC, 24.59 oC, 24.66 oC, and 24.39 oC. Value of delay time (td), maximum overshoot (Mp), and settling time (ts) obtained from the validation respectively are 152 second, 0.04%, and 225 second.