IIJ Vol. 2 / No. 1 (2010)

Title: Industrial Control Quality Improvement using Statistical Process Control: Tennessee Eastman Process Simulation Case

Authors: Endra Joelianto and Linda Kadarusman

Affiliation: Industries need quality control as it can help to decrease operation cost, to improve product quality, etc. Quality control can be established by controlling the quality of raw materials, controlling of process variable by using control systems (such as PI/PID controller), and so on. A well known method that can be used to measure the performance of the controlled variables is the Statistical Process Control (SPC). In this paper, the operation cost, the product quality, process pressure, and production rate from the Tennessee Eastman process simulation were evaluated by using SPC method. The Tennessee Eastman process was simulated by using SIMULINK and MATLAB 7.01 software. Besides evaluation, the control system design from outcome tuning parameters controller PI was studied.

Keywords: PI/PID Controller, Statistical Process Control, Process Simulation.

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