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Engineering Setting on Traffic Lights Based on Number of Vehicles with Fuzzy Logic Algorithm Iswanjono, Iswanjono; Putri, Regina Chelinia Erianda; Adiyanto, Ignasius Tegar
SENATIK STT Adisutjipto Vol 4 (2018): Transformasi Teknologi untuk Mendukung Ketahanan Nasional [ ISBN 978-602-52742-0-6 ]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v4i0.209

Abstract

At crossroads there is often a queue of vehicles that are not evenly distributed in each branch, but the length of the green light remains (not adaptive). So prototype was made to regulate the green light based on the number of vehicles with the help of the Fuzzy Logic Algorithm. Beginning with the next fuzzification stage with the help of the rule base to the defuzzification stage which produces a long green light. The results of the study, Fuzzy Logic algorithm can set the length of green light for each branch based on the number of vehicles. If a branch has more vehicles than other branches, the length of time for the green light on the branch is longer than the other branches. The percentage of error testing with theoretical calculations is 0.05% and the percentage of success is 99.95%.
Design Of Maximum Torque Per Ampere Control Method In Squirrel Cage Three-Phase Induction Motor Putri, Regina Chelinia Erianda; Yusivar, Feri
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 1, June 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i1.7396

Abstract

Improving the performance of three-phase induction motors is currently carried out by various control methods. One of them is controlling a three-phase induction motor using the Maximum Torque Per Ampere (MTPA) method. This paper focuses on the study of modeling specific motor models using the MTPA method. The purpose of the study is to prove that with the squirrel cage motor model, the speed can be increased above its rating. The MTPA method is a method of controlling a three-phase induction motor by controlling the current from the torque speed. Modeling is tested to see the responsiveness of the modeled system. The experimental results were tested using two-speed references and the system showed that MTPA control induction motors can improve the performance of three-phase induction motors. The results from the design show that the MTPA method can increase the performance of three-phase induction motors to reach 84.4%. The results of this study can be used as one way to model induction motors.
Design of a Speed Sensorless Control System on a DC Motor using a PID Controller Harini, Bernadeta Wuri; Gunadi, Theodore Galeno; Mahardika, Shakuntala Gema; Pangestu, Sirilus Praditya; Putri, Regina Chelinia Erianda; Mardikus, Stefan
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 2, December 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i2.13271

Abstract

The speed sensorless control system on a DC motor is a DC motor speed control system that does not use a speed sensor to measure the motor speed. The motor speed value is estimated by an observer from the stator current and voltage that are measured using a sensor. This study uses an R observer method.  The difference between the estimated speed and the reference speed is then used by the PID controller to adjust the motor speed to match the desired reference speed. PID parameter tuning using heuristic method. With a setpoint of 6800 RPM and using a combination of Kp = 0.5, Ki = 0.05, and Kd = 0.34, a speed value of 6792.76 RPM was obtained. Sensorless motor speed control using a PID controller produces an optimal system with a low Steady State Error (SSE) value of around 0.1%, very small oscillations of 0.39%, a fast rise time of 4 seconds, and a fast settling time of 6 seconds.