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Analisa Respon Pengendali Feedforward Dan PID Pada Pengendalian Temperatur Heat Exchanger Djulil Amri; Bhakti Yudho Suprapto
Jurnal Mikrotiga Vol 1, No 1 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.503 KB)

Abstract

Abstrak - Penentuan fungsi transfer bagi suatu proses seperti Heat Exchanger adalah merupakan suatu hal yang mutlak diperlukan. Hal ini dikarenakan melalui fungsi transfer tersebut dinamika suatu proses akan dapat terlihat dengan jelas. Ketepatan penurunan fungsi transfer akan sangat mempengaruhi pemodelan yang akan dibuat dan sistem pengendalian yang akan digunakan pada pemrosesan tersebut. Pada sistem Heat Exchanger , pemodelan yang digunakan adalah pemodelan orde satu dengan waktu tunda. Sedangkan pengendali yang digunakan adalah pengendali PID dan pengendali Feedforward. Pengendali PID adalah pengendali digunakan untuk menjaga stabilitas sistem terhadap perubahan masukan yang terjadi dan pengendali feedforward digunakan mengantisipasi gangguan yang masuk, sehingga response keluaran dari proses Heat Exchanger tetap terjaga dengan baik.Kata kunci: Feedforward, Heat Exchanger, PID
Metode Algoritma Genetika dengan Sistem Fuzzy Logic untuk Penentuan Parameter Pengendali PID Bhakti Yudho Suprapto; . Sariman
Jurnal Rekayasa Elektrika Vol 10, No 1 (2012)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.544 KB) | DOI: 10.17529/jre.v10i1.147

Abstract

Proportional-Integral-Derivative ( PID) represents the popular controller which is frequently used in industry and instrumentation equipments. Although in simple design procedure, tuning of PID parameters ( Kp, KiAnd Kd) to get the optimal value is not easy and simple. Genetic Algorithm method with the Fuzzy Logic system is used to get the PID parameters with optimal performance result. Genetic Algorithm is a method that used to solve a problem of optimization based on selection and genetic evolution, while system of fuzzy logic is used to determine the geneticparameter like crossover probability and mutation. In this research, Genetic Algorithm with the Fuzzy Logic system is forming model of direct-current motor to get the parameters of PID controller based on value of mean square error ( MSE). This Examination yielded the stable response system with the value MSE gyrate 0.0027 until 0.0028 and steady state error gyrate 0.004 until 0.001.
Perancangan Sistem Pemantauan Pengendali Suhu pada Stirred Tank Heater menggunakan Supervisory Control and Data Acquisition (SCADA) Ike Bayusari; Caroline .; Romli Septiadi; Bhakti Yudho Suprapto
Jurnal Rekayasa Elektrika Vol 10, No 3 (2013)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (570.59 KB) | DOI: 10.17529/jre.v10i3.1031

Abstract

This paper discusses design of a suhue control monitoring system in stirred tank heater system that has an important function in industrial processes. Monitoring of suhue control system in stirred tank heater is designed using Supervisory Control and Data Acquisition (SCADA) that control function of industrial processes. While the actuator to be controlled is the position of burner openings, so that the heat can be adjusted to meet a predetermined set-point. The suhue controller that is also used as a Remote Terminal Unit (RTU) is Programmable Logic Controller (PLC). The testing result showed on SCADA system was quite good, where the average percentage of deviation for testing of set-point data was 0.76687%, and the percentage of deviation for testing of suhue data was 0.082%.
Pengaruh Perubahan Set Point pada Pengendali Fuzzy Logic untuk Pengendalian Versi online (e-ISSN. 2252-620x) Suhu Mini Boiler Bhakti Yudho Suprapto; Wahidin Wahab; Mgs. Abdus Salam
Jurnal Rekayasa Elektrika Vol 10, No 4 (2013)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (718.062 KB) | DOI: 10.17529/jre.v10i4.1106

Abstract

In this research, a mini boiler temperature control system is designed by using fuzzy logic controller (FLC). The FLC controls the valve of the incoming fuel. The mini boiler is fueled by gas, has length of 80 cm and diameter of 40 cm. FLC is designed in four different models based on the number of membership function of the temperature variable, i.e., three, five, seven and nine membership functions. The input variables are “temperature” and “error”, and the output variable is “valve”. There are two types of disturbance given to the control system, the disturbance of the system working at set point 125 °C, and disturbance by changing the set point values. In the first type, the FLC is able to reach 125 °C for all models. In the second type, the set points are varied to 100 °C, and 150 °C. At set point 125 °C and 150 °C, the FLC is able to achieve the pre-determined set points for all models. Mean while at set point 100 °C, the FLC can stabilized the system at point of 97.92 °C for the first model, and at the point of 100 °C for other models.
PENGENDALI LAJU KECEPATAN DAN SUDUT STEERING PADA MOBILE ROBOT DENGAN MENGGUNAKAN ACCELEROMETER PADA SMARTPHONE ANDROID Muhammad Ariansyah Putra; Bhakti Yudho Suprapto; Puspa Kurniasari
Jurnal Mikrotiga Vol 1, No 2 (2014)
Publisher : Universitas Sriwijaya

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Abstract

Abstrak—Pengendalian mobile robot umumnya dikontrol menggunakan remote control. Inovasi pengendalian mobile robot ini dapat dikontrol menggunakan smartphone android yang didalamnya terdapat sensor accelerometer sebagai sensor kemiringan, sedangkan Bluetooth sebagai perangkat pertukaran data wireless antar perangkat elektronik. Pada makalah ini dirancang sebuah mobile robot yang memiliki pengaturan kecepatan dan sudut steering dan dikontrol berdasarkan nilai axis dari accelerometer serta diproses menggunakan Arduino Uno. Pada pengujian dihasilkan bahwa smartphone android dapat mengontrol gerakan mobile robot secara real time sejauh 60 meter dimana motor penggerak roda belakang mulai berputar pada saat menerima data axis 2 dan respon motor servo penggerak steering memiliki selisih sebesar 3,7% terhadap kemiringan smartphone.Kata kunci : Android, Accelerometer, Arduino, Bluetooth, Robot MobilAbstract— Generally, mobile robot is controlled by a remote control. Control of mobile robot can be inovated by using an android smartphone which has an accelerometer sensor as a tilt sensor and Bluetooth is used as a wireless switching data device among electronic devices. In this paper, a mobile robot is designed to have a speed controller and a steering angle which is controlled by the axis value from the accelerometer and processed by. Arduino Uno. The result shows that the android smartphone can control the mobile robot’s movement till 60 meters in real time and the driving motor from the back wheel starts to turn when it receives the 2nd axis value and the servo motor that moves the steering has 3,7% difference against the smartphone tilt.Keywords. Android, Accelerometer, Arduino, Bluetooth, Mobile Robot
Performance Comparison of Feature Face Detection Algorithm on The Embedded Platform Ahmad Zarkasi; Siti Nurmaini; Deris Stiawan; Bhakti Yudho Suprapto; Huda Ubaya; Rizki Kurniati
Computer Engineering and Applications Journal Vol 11 No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.575 KB) | DOI: 10.18495/comengapp.v11i2.405

Abstract

The intensity of light will greatly affect every process carried out in image processing, especially facial images. It is important to analyze how the performance of each face detection method when tested at several lighting levels. In face detection, various methods can be used and have been tested. The FLP method automates the identification of the location of facial points. The Fisherface method reduces the dimensions obtained from PCA calculations. The LBPH method converts the texture of a face image into a binary value, while the WNNs method uses RAM to process image data, using the WiSARD architecture. This study proposes a technique for testing the effect of light on the performance of face detection methods, on an embedded platform. The highest accuracy was achieved by the LBPH and WNNs methods with an accuracy value of 98% at a lighting level of 400 lx. Meanwhile, at the lowest lighting level of 175 lx, all methods have a fairly good level of accuracy, which is between 75% to 83%.