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Journal : Jurnal Polimesin

Design of Feed Rate Control System on Loss in Weight Feeder using Programmable Logic Controller Wardhana, Asepta Surya; Nurin Hamdani, Chalidia; Kusuma Dewi, Astrie; Ravy, Javier Umar; Aji, Ferro; Hendrawati, Dwiana
Jurnal Polimesin Vol 21, No 1 (2023): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i1.3184

Abstract

In the industrial world where there is a material process or solid product, it definitely requires a consistent material distribution process to be used in the next process. And to move material from the main storage area, it is necessary to use a tool commonly called a feeder machine or Loss In Weight Feeder. This tool has a feeder system consisting of a hopper and a feeder mounted on a load cell with high accuracy. So in this study, a feed rate control system was designed on the Loss In Weight Feeder to keep the feed rate process at the desired value, so there is a controller to regulate the motor speed in the feeder. To run the control system, a parameter control is needed, namely PID. In this study, in designing the PID controller using Direct Synthesis tuning which will be carried out using two methods in producing a plant model, namely the process model, the proportional gain (Kp) value is 38.7, integral gain (Ki) is 0.6, and derivative gain (Kp) is 0.6. Kd) of 8.12. And the plant structure model of the Auto Regressive eXogenous (ARX) model, the proportional gain (Kp) value is 13, the integral gain (Ki) is 0.78, and the derivative gain (Kd) is 12.85. Based on direct testing, the PID controller parameter that is suitable and reliable with the desired process response from the feed rate output from the Loss In Weight Feeder prototype is the PID controller parameter using Direct Synthesis tuning based on the plant process model. In the system test without disturbance, it produces a time constant (τ) of 3 seconds, settling time (ts) of 5 seconds, delay time (td) of 1.5 seconds, overshoot (Mp) of 79.92% and steady state error (ess) of 0%. And when testing the prototype by providing interference, it shows a fairly good interference rejection
Fuzzy logic-PLC-based controller for water treatment simulator system Dewi, Astrie Kusuma; Labatar, Gilbert; Hamdani, Chalidia Nurin; Wardhana, Asepta Surya
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.5606

Abstract

The constant demand for clean water is critical for both consumption and daily activities. A water pH control system is essential for regulating and determining the concentration of acid and base values in water. Research projects often employ a Programmable Logic Controller (PLC) control system with various control methods. This serves as the backdrop for the design of a water treatment simulator, which utilizes a fuzzy logic control system. Fuzzy logic control is a reliable method that produces effective and accurate output values. Experiments conducted on the designed water treatment simulator demonstrate this. Factors influencing the relationship between the solution pump response time and the normalized water pH results are the concentrations of the pH-UP and pH-DOWN solutions. The water treatment simulator is a lab-scale water pH control system simulation tool using a fuzzy logic control mode. It uses an Outseal PLC microcontroller, a pH sensor to measure pH, a DC pump, and a solenoid valve to control the output flow. The experimental results show a significant relationship between the initial pH value of the water measured and the response time of the solution pump. Data analysis shows a positive correlation where the further the pH concentration value of the water is from the normal pH state, the higher the response time value. Factors influencing the relationship between the solution pump response time and the normalized water pH results are the concentration of the pH UP and pH DOWN solutions. The concentration of the solution is set for a pH UP of 12.2 and a pH DOWN solution of 2.2.
The Effect of Electric Current On Hydrogen Gas Production Using Water Electrolysis Process Wardhana, Asepta Surya; Yuliatin, Umi; Yasmin, Amida
Jurnal Polimesin Vol 22, No 1 (2024): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i1.4659

Abstract

New renewable energy sources are being developed to replace conventional energy sources such as biofuels, electric cars, and solar cars in the transportation sector. However, this generation has limitations in that it requires external energy sources to be converted into electricity.This study examined the development of alternative energy sources through water electrolysis to produce hydrogen. The factors affecting the electrolysis process, such as the catalysts and external voltage, were investigated. The study successfully implemented hydrogen production using a wet cell electrolysis reactor design involving components such as an Arduino, MQ-8 gas sensor, and DS18B20 temperature sensor. This study used a reactor with electrodes of six plates, where the electrode plates werethe anode and cathode of three plates each. Hydrogen levels were measured using an MQ-8 semiconductor sensor. The test results showed that varying the current in the electrolysis reactor increased the hydrogen concentration to a maximum of 3405.77 PPM. A decrease in hydrogen levels occurred after 20-40 minutes due to the saturated electrolytes. Factors such as the ion concentration, hydration, ion attraction, and temperature also influence the conductivity of the solution duringelectrolysis. The results of this study obtained a minimum average hydrogen content of 646.054 PPM and a maximum of 2932.306 PPM. The reactor temperature conditions were stable at an average temperature of 27°C.