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Data Acquisition Prototype Chamber of Mechanical Seals Test Plant API-682 Using NI MY-RIO Sumardi, Adhitya; Lilansa, Noval; Rifai, Afaf Fadhil; Iman, Fachri; Nursyam, M.; Sari, Yunita Indah
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (697.288 KB) | DOI: 10.33395/sinkron.v3i2.10021

Abstract

— Seal Chamber in Mechanical Seal Test Plant is a part that is used for heat exchange between hot liquid fluid in the form of condensed steam and cold liquid fluid in mechanical seal test plant. In heat exchange it is arranged so that the hot fluid can raise and lower the temperature from 20 ℃ to 80 ℃ and vice versa within 1-2 minutes. In the exchange of heat, data acquisition is still needed, which is then processed by data acquisition software that has been calibrated to determine the sensor response to the environment for test plant. In this study, data acquisition and monitoring systems were carried out and multi tasking synchronization with several sensors with one centralized controller. In addition, the volume seal chamber is equipped with a valve regulated by a servo motor to regulate the amount of hot liquid fluid in the form of condensed steam. Valve is used to be a regulator of the flow of hot fluid that enters and exits the seal chamber volume model. This research will be used to control the level and temperature in prototype of the Mechanical Sil test plant according to API 682. The manual control is done and there is an average error for the relationship of the actual valve with the water flow sensor of 8.42%.
RANCANG BANGUN KENDALI SUHU PEMANAS TANGKI BERPENGADUK KONTINYU MENGGUNAKAN PENGENDALI PID BERBASIS NI ELVIS II DAN LABVIEW Imam Febiawan; Noval Lilansa; Abyanuddin Salam
Jurnal Edukasi Elektro Vol 4, No 2 (2020): Jurnal Edukasi Elektro, Volume 4, Nomor 2, 2020
Publisher : JPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v4i2.35110

Abstract

ABSTRACT:This paper proposes a temperature control system on a continuous stirred tank heater prototype using a PID controller. Input value parameters and system responses are displayed on a GUI (Graphical User Interface) connected to a computer (PC or Laptop) so that they can be monitored in real-time. The sensor used in the stirred tank heater consists of two LM35DZ temperature sensors. The results of the temperature sensor readings are entered into the data acquisition device (NI ELVIS II) as a data processing process which is then processed using LabVIEW and displayed on the GUI. The results of this study can provide a model of a continuous stirred tank heater temperature control system with a water room temperature range up to 45ºC using the parameters PI Kp = 83.2 Ti = 0.03, Td = 0.ABSTRAK:Paper ini mengusulkan sebuah sistem kendali suhu pada sebuah prototipe pemanas tangki berpengaduk kontinyu menggunakan pengendali PID. Parameter nilai masukan dan respon sistem ditampilkan pada GUI (graphical user interface) yang terhubung dengan komputer (PC atau Laptop) sehingga dapat dipantau secara waktu riil. Sensor yang digunakan pada alat pemanas tangki berpengaduk terdiri dari dua buah sensor suhu LM35DZ. Hasil pembacaan sensor suhu tersebut dimasukkan pada perangkat akusisi data (NI ELVIS II) sebagai proses pengolahan data yang selanjutnya diolah menggunakan LabVIEW dan ditampilkan pada GUI. Hasil penelitian ini mampu memberikan sebuah model sistem kendali suhu pemanas tangki berpengaduk kontinyu dengan rentang suhu ruangan air sampai 45ºC menggunakan parameter PID Kp=83,2 Ti=0,03, Td=0.
Rancang Bangun Multisensor Sistem Proses Menggunakan Komunikasi I2C Berbasis Labview Ismail Rokhim; Afaf Fadhil Rifai; Adhitya Sumardi Sunarya; Noval Lilansa; Nur Iqbal Hidayatullah
CYBERNETICS Vol 5, No 01 (2021): CYBERNETICS
Publisher : Universitas Muhammadiyah Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/cbn.v5i01.2493

Abstract

Pekerjaan Rancang Bangun Bahan Ajar Sistem Proses merupakan upaya untuk membuat bahan ajar dan bahan praktikum yang mendukung proses pelatihan untuk sebuah perusahaan rafinasi gula nasional. Bahan ajar sensor ini memiliki spesifikasi yang dapat digunakan untuk berdiri sendiri tiap sensor beserta plan mekaniknya atau dapat dihubungkan dengan sensor lain. Sistem Akuisisi Data ini mengambil data yang diberikan oleh beberapa sensor untuk kemudian diolah oleh software data akuisisi Labview dan Arduino Uno yang telah dikalibrasi untuk mengetahui respon sensor terhadap lingkungan model alat uji. Penelitian ini selain digunakan untuk bahan ajar kendali proses dan akuisisi data juga merupakan aplikasi dari sistem i2C menggunakan master-slave pada suatu sistem Arduino. Dari hasil penelitian kalibrasi sensor tekanan diperoleh persamaan regresi y=3,8x-2,1 untuk tekanan berbanding waktu. Untuk sensor aliran diperoleh persamaan aliran berbanding waktu y=(60x)/7,5 dengan x adalah frekuensi. Untuk sensor ultrasonik y=191x-47 sebagai sensor level ketinggian fluida. Sedangkan komunikasi i2C memiliki waktu pemrosesan 0,25 sekon atau 4 data perdetik.
Pattern recognition based movement control and gripping forces control system on arm robot model using LabVIEW Nur Jamiludin Ramadhan; Noval Lilansa; Afaf Fadhil Rifa'i; Hoe Dinh Nguyen
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 13, No 1 (2022)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2022.v13.1-14

Abstract

Most arm robot has an inefficient operating time because it requires operator to input destination coordinates. Besides, main problem of arm robot is object’s vulnerability when it is manipulated by the robot. This research goals is to develop an arm robot control system which has ability to automatically detect object using image processing in order to reduce operating time. It is also able to control gripping force for eliminating damage to objects caused by robot gripper. This research is implemented in LabVIEW 2011 software to control arm robot model which can represent industrial scale robot. The software is designed with informative visualization to help user learn and understand robotic control concept deeply. The system can automatically detect object position based on pattern recognition method which has four steps: pre-processing process to initialize picture taken by camera, segmentation process for separating object from the background, classification process to determine characteristics of object, and position estimation process to estimate object position in the picture. The object’s position data are then calculated by using kinematic equation to control the robot’s motion. The results show that the system is able to detect object and move the robot automatically with accuracy rate in x-axis is 95.578 % and in y-axis is 92.878 %. The system also implements modified PI control method with FSR as input to control gripping force with maximum overshoot value 10 %. Arm robot model control system developed is successfully meet the expectation. The system control can be implemented to industrial scale arm robot with several modification because of kinematic similarity between model and industrial scale robot.
Implementation consensus algorithm and leader-follower of multi-robot system formation Noval Lilansa; Muhammad Nursyam Rizal; Pipit Anggraeni; Nur Jamiludin Ramadhan
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.006

Abstract

Robot technology has recently been applied to many applications to help human activities. Mobile Robot is one of the most flexible robot technology. This research uses a mobile robot designed using an omnidirectional wheel for the movement mechanism. Coordination and control of multi-robots can be assigned to perform any task from a different kind of field. Therefore, this paper aims to develop a multi-robot system to form a formation to do the task. The multi-robot system consists of three units Mobile Robot. The formation system will be built based on a coordinate point determined by a consensus point. The leader-follower topology is used to determine the orientation of the robot. ROS (Robot Operating System) is used as middleware to create a multi-robot system. The Open Base package in Gazebo Simulator is also used to simulate the movement of the multi-robot. From three test scenarios, this research results show that all the robots can do and follow the tasks simulated in the Gazebo with an average accuracy of 88.14%. Furthermore, no feedback from the robot to the Gazebo Simulator affects the robot's accuracy average below 90%.