scholarly journals Development of IoT based Heat Exchanger Control Trainer for Undergraduate Process Control Programme

2019 ◽  
Vol 2 ◽  
pp. 6-16
Author(s):  
Choon Khon Ng ◽  
Mohd. Fauzi Zanil
Keyword(s):  
Fuzzy Logic ◽  
User Interface ◽  
Heat Exchanger ◽  
Process Control ◽  
Fuzzy Logic Controller ◽  
Cooling System ◽  
Control Programme ◽  
Industrial Plant ◽  
Tuning Method ◽  
Temperature Feedback

Heat exchanger control trainer is a device that helps to demonstrate process control of process variables and simulates real world industrial plant system whereas the implementation of Internet of things (IoT) technology allows wireless communication. This paper describes a work to develop an IoT based heat exchanger control trainer for undergraduate process control programme with the implement Proportional-Integral-Derivative (PID) controller and fuzzy logic controller into the control trainer system together. The work started up with the development of graphical user interface (GUI) for the control trainer followed by the construction and coding of the control trainer prototype. The work has developed a heat exchanger control trainer GUI with PID and fuzzy logic controller. Information was able to be transmitted wirelessly between the GUI and control trainer prototype using Wi-Fi modules. The tested maximum signal strength was -90 dBm in 50 m when connected to indoor Wi-Fi router.  The control trainer was able to achieve simple temperature feedback control of the cold side of the heat exchanger. The user manual included the basic user guide of the developed control trainer user interface. Kp, Ki, Kd of Ziegler-Nichols tuning method obtained in Offline case studies are 90,18, 112.5 whereas 7.2009, 1.1473, and 7.3163 for Cohen-Coon tuning method. The Offline test result shows a better accuracy of control using the fuzzy logic controller with -0.07% of steady-state error. Further improvement could be made to by adding cooling system into the control trainer prototype and apply modern techniques in the GUI control systems.

Implementation of Real-Time Concentration Process Control System Design Based on PID and Fuzzy Logic Controller

2015 ◽  
Vol 772 ◽  
pp. 147-153
Author(s):  
Mohamed Amir Gabir Elbakri
Keyword(s):  
Fuzzy Logic ◽  
Process Control ◽  
Real Time ◽  
Fuzzy Logic Controller ◽  
Control Loop ◽  
Time System ◽  
Real Time System ◽  
Concentration Process ◽  
Labview Software ◽  
Model Control

Concentration process is commonly process in industries for chemicals and products that want to reach desired amount of matter in product, so concentration process control is important to reach the desired concentrate of product.Concentration in streams are affected by physical variables around it like pressure, temperature and amount of matter that solvent in streams, so the amplitude of concentration is randomly change with time that make control process not easy.In this project controller was designed for concentration process and was implemented in real-time system that constructed to verify the response of controller, in prototype concentrated solutions-juice and sugar-used to control in it separately with water then mixed to produce juice with desired property.The Mathematical model of concentrated process was evolved and Matlab used to analyze and design control loop for these model, control algorithms used as PID & Fuzzy logic controller to build controller that achieve the specification requirements of a system process.The Fuzzy PI-controller designed to control that for characteristic of nonlinearity of real-time system, and implement simulation of control loops in LABVIEW software with appropriate interface.The DAQ hardware with LABVIEW software are used to implement the control loop that designed for real-time prototype to produce the juice with desired concentrated.

scholarly journals Simulation of process control for production of 5-HMF from old coconut water

2021 ◽  
Vol 1192 (1) ◽  
pp. 012020
Author(s):  
N A Ahmad Joharee ◽  
J Mohd Ali ◽  
M N Mohd Fuad ◽  
N Abd Rahman
Keyword(s):  
Fuzzy Logic ◽  
Process Control ◽  
Building Materials ◽  
Fuzzy Logic Controller ◽  
Coconut Water ◽  
Raw Material ◽  
Palm Tree ◽  
Continuous Stirred Tank Reactor ◽  
Multiple Reactions ◽  
Biomass Resources

Abstract 5-Hydroxymethyl furfural (5-HMF) is one of the intermediate chemicals produced from biomass through the process of dehydration of glucose and fructose in acidic conditions. Biomass resources are one of the sources that attract the attention of many users of unlimited biomass resources, in addition to being able to produce environmentally friendly products such as bio fuels and bio chemicals. Old coconut water and oil palm tree trunk sap was chosen in this study because of its abundance in Malaysia. It is an essential organic compound for the production of bioplastics, chemicals, building materials, fuels, textiles, cosmetics and food. Although the production of 5-HMF is relatively simple, in fact, the synthesis of 5-HMF is complicated by the occurrence of multiple reactions at one time, especially when using biomass as a raw material. In this report, process control of production of 5-HMF from biomass is presented using fuzzy logic controller for controlling temperature of a continuous stirred tank reactor (CSTR). The objective of this paper is to develop a control system for a non-isothermal temperature control of a CSTR with the most stable response curve. Through simulation results, fuzzy logic control performs better because there was no overshoot and successfully reaches the set point at faster settling time.

An automatic tuning method of a fuzzy logic controller for nuclear reactors

1993 ◽  
Vol 40 (4) ◽  
pp. 1253-1262 ◽  
Author(s):  
Pramath Ramaswamy ◽  
Robert M. Edwards ◽  
Kwang Y. Lee
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Nuclear Reactors ◽  
Automatic Tuning ◽  
Tuning Method
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