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Mecanum 4 Omni Wheel Directional Robot Design System Using PID Method Alfiyan, Muhammad; Puriyanto, Riky Dwi
Journal of Fuzzy Systems and Control Vol. 1 No. 1 (2023): Vol. 1, No. 1, 2023
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v1i1.27

Abstract

Robot or Artificial Intelligence (AI) can be interpreted as a machine with some computer intelligence and controlled by a computer, and has physical abilities like humans. One of the drives of robots that is often used is a DC motor, a DC motor is a motor with an electronic device that converts electrical energy into kinetic energy or motion. However, DC motors often experience a decrease due to the existing load, so that the speed becomes not constant, so it is necessary to design a controller. The controller used is Proportional Integral Derivative (PID). In the PID there are several parameters such as , , and which are selected or determined so that the plant characteristics match the desired criteria. The general parameters are rise-time, settling-time, maximum, overshoot, and steady-state error for a given input. From the results of the DC motor speed control test using the PID method which was carried out by trial and error testing of the four DC motors, the best PID value was obtained with ; ; ; and with the Rise Time system message: 14.7452; Overshoots: 0.6667; Settling Time: 52.0100; Undershot: 0; Settling Min: 136; Peaks: 151; Settling Max : 151; and Peak Time: 65.
Sistem Irigasi Sawah Berbasis Internet Of Things Memanfaatkan Energi Panas Matahari Dengan Panel Surya Alfiyan, Muhammad; Budi Laksono, Arief; Aisyatul Faroh, Rifky
Jurnal FORTECH Vol. 6 No. 2 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i2.6104

Abstract

The rice field irrigation system based on the Internet of Things (IoT), utilizing solar energy through photovoltaic panels, is designed to improve agricultural efficiency, particularly in automating water distribution. This system consists of a soil moisture sensor, water level sensor, 12V DC water pump, servo motor for opening the irrigation gate, and an ESP32 microcontroller connected to the Blynk application to monitor and control irrigation in real-time via smartphone. Electrical energy is supplied by solar panels and stored in batteries through a solar charge controller (SCC), allowing the system to operate independently of the main power grid. Test results show that the system can accurately read soil moisture and water level, activate the pump, and open the irrigation gate according to user commands via the Blynk app. The use of renewable energy and remote control makes this system an innovative solution to support sustainable agriculture and address water scarcity in rice fields, especially during the dry season.
Sistem Irigasi Sawah Berbasis Internet Of Things Memanfaatkan Energi Panas Matahari Dengan Panel Surya Alfiyan, Muhammad; Budi Laksono, Arief; Aisyatul Faroh, Rifky
Jurnal FORTECH Vol. 6 No. 2 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i2.6104

Abstract

The rice field irrigation system based on the Internet of Things (IoT), utilizing solar energy through photovoltaic panels, is designed to improve agricultural efficiency, particularly in automating water distribution. This system consists of a soil moisture sensor, water level sensor, 12V DC water pump, servo motor for opening the irrigation gate, and an ESP32 microcontroller connected to the Blynk application to monitor and control irrigation in real-time via smartphone. Electrical energy is supplied by solar panels and stored in batteries through a solar charge controller (SCC), allowing the system to operate independently of the main power grid. Test results show that the system can accurately read soil moisture and water level, activate the pump, and open the irrigation gate according to user commands via the Blynk app. The use of renewable energy and remote control makes this system an innovative solution to support sustainable agriculture and address water scarcity in rice fields, especially during the dry season.