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All Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
As’ad, Reza Fardiyan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology

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Brake Current Control System Modeling Using Linear Quadratic Regulator (LQR) and Proportional integral derivative (PID) Nugraha, Anggara Trisna; Pratiwi, Oktavinna Dwi; As’ad, Reza Fardiyan; Athavale, Vijay Anant
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 2 (2022): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i2.141

Abstract

In the automotive world, each engine has different characteristics and functions, such as engine power, engine torque, and engine fuel emissions. Therefore, the power meter is used as a tool that can provide information about the engine characteristics. To ensure optimal braking performance of the dynamometer.is use eddy current braking dynamometer. his paper provides a comparative analysis between PID control as a classical control technique and modern control technique in the dynamometer eddy current brakes system. Eddy current brakes is a modern braking system that requires a control system to support the braking performance. PID control is often used to be implemented but, in some conditions, it is less optimal. This paper aims to find out that LQR and PID can support the performance of the Eddy current brakes dynamometer. And also to find out that LQR is better and optimal than PID controller for braking time response on Eddy current brakes dynamometer. Therefore, it is necessary to develop a modern and optimal control, such as a full state feedback Linear Quadratic Regulator (LQR). The expected result of the research is to produce a control design for the Eddy current brakes dynamometer system using the LQR control method. So that it can be used for the development of the automotive world and is beneficial for the survival of the communityThe comparison of the braking time responses were simulated using Matlab/Simulink. The simulation results show that the response of LQR control is better than the PID, with Ts = 2.12 seconds, Tr = 1.18 seconds, and without overshoot. On the other side, PID control, although having Ts = 0.27 seconds and Tr = 0.18 seconds, there is still an overshoot about 0.7%.
Desain and Build a Medium Voltage Cubicles Temperature and Humidity Optimization Tool to Minimize the Occurrence of Corona Disease with the PLC-Based Fuzzy Method Sheila, Sindy Yurisma; Rochamwati, Nur Wakhidatur; Riyadi, Faris; As’ad, Reza Fardiyan; Nugraha , Anggara Trisna
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 4 (2022): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i4.154

Abstract

Cubicle is an electrical device that functions as a breaker, protector, connector, controller, and divides the electric power system from an electric power source and reduces sparks when connecting. One of the problems that occur in medium voltage cubicles is the presence of corona. Corona phenomena at cubicle terminations can trigger disturbances such as a decrease in insulation quality, power loss and a significant increase in harmonic distortion. In this study, raised a problem regarding the optimization of temperature and humidity in cubicles using the fuzzy method to stabilize the performance of medium voltage cells. The purpose of this research is to control the temperature and humidity in the medium voltage cubicle so that it is optimal so as to minimize the occurrence of corona discharge. In addition, in this study there is a fuzzy method for controlling the fan and has been equipped with SCADA for monitoring and controlling the center of several parameters such as temperature, humidity, voltage, current and power. In this study, it was found that the fuzzy method in this prototype was able to stabilize the panel humidity at 55% RH and stabilize the panel room temperature at 31.5oC. Thus, it is hoped that a stable and optimal temperature and humidity can minimize the occurrence of corona. The use of HMI/SCADA based applications can facilitate the ability of the user (operator) to monitor several available parameters and manually control the operation of the panel (on/off).
Co-Authors Anggara Trisna Nugraha Athavale, Vijay Anant Nugraha , Anggara Trisna Pratiwi, Oktavinna Dwi Riyadi, Faris Rochamwati, Nur Wakhidatur Sheila, Sindy Yurisma