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All Journal Journal of Industrial Automation and Electrical Engineering
Ayu Hendra
Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Padang, Indonesia
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Internet of Things (IoT) implementation through Node-RED to control and monitoring induction motors Faisal Bahri; Ta ali; Ayu Hendra
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/

Abstract

The Internet of Things (IoT) is a technology that plays an important role in the contemporary era, especially in the industrial sector. The Internet of Things allows remote access of physical objects at any time and from any location, simply by establishing an internet connection. Thus, in the control and monitoring of motors remotely, IoT allows adjusting the speed and direction of rotor rotation. The motor used is a 0.75 kW Siemens induction motor. To adjust the speed and direction of rotor rotation of the motor, a Sinamic G120 programmable logic controller S7-1200 VSD is programmed via TIA Portal to serve as the central controller for all induction motor control. A multi-interface system consisting of a KTP 700 Comfort HMI, a PC server, and clients in the form of PC and smartphone clients was used for control and monitoring of the induction motor. The visual interface of the HMI interface was designed using TIA Portal, while the visual interface of the server and client was designed using Node-RED. The PC server, PLC, HMI, and VSD are all connected via Ethernet. At the same time, the connection of the Internet of Things (IoT) client, which is integrated with the server, is connected via the Internet network. Research on IoT-based control and monitoring of induction motors through the Node-RED proposal has been successful and works as intended
Implementation of Maximum power control of Solar Panels using Modified Perturb and Observe Algorithm based on Adaptive Neuro Fuzzy Inference System Ilham Kurniawan; Muldi Yuhendri; Ayu Hendra; Rahmat Hidayat
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/87da0h21

Abstract

In this modern era, the need for renewable energy is increasing, and solar panels are one of the main solutions. To maximize the efficiency of energy extraction from solar panels, a method is needed. Based on the characteristics of voltage and current, the output power of these solar panels changes following changes in irradiation and temperature. Changes in the output power value have a maximum point, where each voltage and current value has a different maximum power point at each change in temperature. For this reason, the Maximum Power Point Tracker (MPPT) method is used to solve this problem by adjusting the solar panel voltage at the maximum point using a power converter. In this study, the MPPT control system will be implemented using a boost converter. This study develops a Maximum Power Point Tracking (MPPT) control system based on the Adaptive Neuro-Fuzzy Inference System (ANFIS), which is developed from conventional perturbation and observation algorithms. The ANFIS-based MPPT control system is implemented using an Arduino microcontroller. The experimental results verify that the proposed ANFIS-based MPPT system has successfully controlled the output power of solar panels at the maximum point
Co-Authors Faisal Bahri Ilham Kurniawan Muldi Yuhendri Rahmat Hidayat Ta ali