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All Journal INAJEEE (Indonesian Journal of Electrical and Electronics Engineering)
zuhrie, M. Syarieffuddien
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Implementation of Mobile Network-Based Unmanned Aerial Vehicle (UAV) Telemetry for Ground Control Station (GCS) Monitoring Maharani, Hastaria Willis; zuhrie, M. Syarieffuddien
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 6 No. 2 (2023)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p56-62

Abstract

This research focuses on cellular network-based Unmanned Aerial Vehicle (UAV) telemetry used to monitor the Ground Control Station (GCS) in the Long Endurance Low Altitude (LELA) division of the Indonesian Flying Robot Contest (KRTI). This research aims to implement a cellular network telemetry work system which then the value of the Received Strength Signal Indicator (RSSI) on the Unmanned Aerial Vehicle (UAV) is compared during aerial and land conditions, Pixhawk and RaspberryPi3 as a microcontroller of the Unmanned Aerial Vehicle (UAV). The Received Strength Signal Indicator (RSSI) test shows the signal strength received in an aerial state as far as 500 meters and an altitude of 100 meters from the surface is -61 dBm and the Unmanned Aerial Vehicle (UAV) in the land shows the Received Strength Signal Indicator (RSSI) results of -39 dBm. (RSSI) of -39 dBm. The Received Strength Signal Indicator (RSSI) value during aerial and land conditions shows that the signal is classified as very good for receiving and sending data. The conclusion of this research is that cellular network telemetry is effectively used in a long range and is expected to facilitate sending and receiving data for all types of Unmanned Aerial Vehicles (UAV). Keywords: Unmanned Aerial Vehicle (UAV), Received Strength Signal Indicator (RSSI), Ground Control Station (GCS), Telemetry.
Body Balancing Control System for Quadruped Robot While Walking on Uphill and Downhill Road Using Fuzzy Bayu, Ikrof; Zuhrie, M. Syarieffuddien
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 1 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n1.p9-16

Abstract

The development of robotics in Indonesia is growing rapidly, especially in the field of robotic legs. In the Indonesian SAR robot competition there is an obstacle that is a sloping road that consists of a uphill road and downhill road. The problem with quardruped robots is the use of walking gaits that can only be used on flat fields, so they can not be used directly on sloping roads. The researchers designed a quardruped robot body balance control system using the fuzzy logic method, STM32F4 Discovery and Arduino nano as its controllers, the BNO055 IMU module as its sensor and the Dynamixel MX-28 servo for its legs. The result of this study was that the robot's time to reach a balanced body was a maximum of 1.18 seconds on a uphill road, with an equal error presentation of 2.5% roll angle and 0.95 seconds on the downhill road conditions, with a equal errors presentation of 2.2%. The test result of the high fit of the designed robot leg yielded an average error of 0.02 cm in front leg height on the uphill road, 0.02 in rear foot height when on the downhill road.
Co-Authors Bayu, Ikrof Maharani, Hastaria Willis