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Sistem Pengendali On-Off Lampu dan Motor Servo sebagai Penggerak Gerendel Pintu Berbasis Internet Of Things (IoT) Ramdan Ramdan; Lasmadi Lasmadi; Paulus Setiawan
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 4, No 2 (2022): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v4i2.1317

Abstract

The application of Internet of Things (IoT) technology will be one of the technologies that complements all fields along with the increasing use of smartphones. The purpose of this research is to design an on-off control system for lights and servo motors as door latch actuator based on IoT. The designed system can give commands on/off the lamp or door latch actuator and display the on/off indicators through an application on an Android smartphone. The system is designed using a Wemos D1 mini microcontroller as a processor, light sensor, infrared sensor, relay, servo motor, and RemoteXY app. Based on the test results, the system design has been successfully implemented and can be operated as an on-off controller via the internet with an Android smartphone. For each test performed, the system managed to provide an output that matches the given control input. The response time (delay) of the relay when on or off the lamp about 34,83 ms while the response time of the servo motor when opening and closing the latch takes about 38,93 ms. The notification shown corresponds to the state of the lamp and the state of the latch.
Data Fusion for Displacement Estimation and Tracking of UAV Quadrotor in Dynamic Motion Lasmadi Lasmadi; Denny Dermawan; Muhamad Jalu Purnomo
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 5, No 2 (2023): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v5i2.1758

Abstract

The fusion of MIMU and GPS data is generally used to estimate the displacement and tracking of quadrotor UAVs. Meanwhile, displacement estimation inaccuracies during dynamic motion often occur. This error is caused by noise and limited sensor sampling rate especially occurs when the quadrotor changes its attitude rapidly to generate an instantaneous horizontal force. This paper proposes data fusion based on Kalman filter to estimate orientation and displacement. Experiments were also carried out to verify displacement accuracy, i.e. in single-axis and multi-axis sensor motions. The algorithm combines data from MIMU and GPS sensors so that acceleration data is filled in points where GPS data is not available. With this method, the predicted displacement from the MIMU sensor can be corrected every second with data from the GPS and produce accurate displacement and trajectory estimates.