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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Signal and Image Processing Letters Journal of Robotics and Control (JRC) International Journal of Applied Finance and Business Studies Journal of Fuzzy Systems and Control (JFSC) Control Systems and Optimization Letters Signal and Image Processing Letters
Puriyanto, Riky Dwi
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Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Neuroscience Social Sciences Other

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Journal : control systems and optimization letters

 1 
Control of Water Flow Rate in a Tank Using the Integral State Feedback Based on Arduino Uno Hendriyanto, Raeyvaldo Dwi; Puriyanto, Riky Dwi; Ma'arif, Alfian; Vera, Marco Antonio Márquez; Nugroho, Oskar Ika Adi; Chivon, Choeung
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.162

Abstract

In the industrial world, many tools have been made to facilitate human work in carrying out control and measurement that is made automatically in a production process. Because in some parts of a production process in the industry that is done manually is no longer effective so that accurate and precise automatic control is needed. The control that will be used in this study is the Integral State Feedback (ISF) control with Arduino Uno as a microcontroller to design and run the system. The actuator used is a 12V water pump with the sensor used is the YF-S401. The system will run the ISF control as long as the data is less than 300 and if it reaches 300 data, the system will stop processing the ISF control and turn off the 12V water pump. The sensor reading error obtained is 27%. Parameters Ki = 0.3, K1 = 6, and K2 = 2 obtained from MATLAB Simulink can be applied to the research tool but have a slow system response Delay Time and Rise Time, so the researcher made a modification parameter with a value of Ki = 1, K1 = 6, and K2 = 2 and obtained a faster system response Delay Time and Rise Time. So it can be concluded that the best parameters for this study use modified parameters.
The Design of Rice Milling and Screening Systems Uses the DC Motor PID Method Cahya, Aulia Adi; Puriyanto, Riky Dwi
Control Systems and Optimization Letters Vol 1, No 1 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i1.2

Abstract

Rice is one of the staple foods of most Indonesian people, the processing of rice derived from rice plants goes through many stages, one of which is rice milling and sifting. This research aims to make it easier for farmers to do milling and screening, the system will utilize DC motor rotation which is suitable for application in milling and screening, this system also utilizes electrical energy obtained from sunlight so it is more efficient and environmentally friendly. The milling DC motor will use the PID method with a value of P=25, I=50 and D=5 with a setpoint of 250, while the winnowing motor will use a PWM setting of 200 with a voltage of 7.07 V and a motor RPM of 348. This study also has digital scales. which can easily find out the results in units of grams with a maximum capacity of 5,000 grams. The prototype of this rice grinder and sifter has a success rate of testing sensors and motors in the range of 50%, even though the milling results can be said to be less than optimal, the screening results can work according to function, as well as solar panels that can optimally provide power to move the actuators and sensors. sensors in this system.
IMU Sensor Based Omnidirectional Robot Localization and Rotary Encoder Marwanto, Setyo Budi; Puriyanto, Riky Dwi
Control Systems and Optimization Letters Vol 1, No 2 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i2.39

Abstract

Localization is a technique to determine the position of the robot in an environment. Robot positioning is a basic problem when designing a mobile robot. If the robot does not know its position, then the next robot action will be difficult to determine. To be able to determine the position of the omnidirectional robot requires good speed control on the DC motor. In omnidirectional robots, positioning is through the use of a rotary encoder sensor to count the movement of the omni robot at X and Y coordinates and the IMU sensor to maintain the direction of the robot facing. PID control is also applied to control the rotational speed of each DC motor on the robot wheel. Odometry is the method used in this study. The odometry system aims to estimate the position relative to the initial position of the omni robot to estimate the change in position from time to time. The final result of this research is the application of the odometry method based on a rotary encoder and IMU sensor can produce an effective and stable robot motion and can move in all directions (holonomic) by maintaining the robot's facing direction. The results of the test form simple motions such as forward, backward, right side, and left side motion, as well as forming a box trajectory that has a position error that is not large and quite accurate. The average error value at coordinate X is 1.44 cm and at coordinate Y is 1.67 cm.
Co-Authors Agitasani, Revi Al Andzar, Muhammad Faqihuddin Al-Andzar, Muhammad Faqihuddin Alfian Ma’arif Alfiyan, Muhammad Anggoro, Rois Aditya Yoga Ardi Pujiyanta Cahya, Aulia Adi Chivon, Choeung Hendriyanto, Raeyvaldo Dwi Lalu Muhammad Irham Marwanto, Setyo Budi Mustofa, Ahmad Kamal Nugroho, Oskar Ika Adi Prasetyo, Okki Sanjaya, Berza H. Solikhah, EfA Wakhidatus Vera, Marco Antonio Marquez