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Implementation of Industrial Internet of Things-Based Scalar Control Method Using PID Controller for Multiple Three-Phase Induction Motor Control Angga Wahyu Aditya; Restu Mukti Utomo; Nur Rani Alham; Faisal Faizz Ramadhanu
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.16702

Abstract

Developing industrial standard induction motor control devices is inseparable from the advantages and ease of implementation. Induction motor control has developed rapidly since the development of semiconductor technology, which allows for more efficient, flexible, and accessible settings. The third industrial revolution makes it easier to control induction motors by meeting device standards and data communication systems. The development of cloud technology and the industrial Internet of Things in the fourth industrial revolution makes it easier to quickly control multiple induction motors from various places. Industry-standard devices such as human-machine interface, programmable logic control, and inverters are used to determine the performance of multiple induction motors using a scalar method based on PID controllers with a mobile phone remote control. PID performance is analyzed under transient conditions by measuring the rise time value and overshoot percentage. Meanwhile, the parameters measured in steady-state conditions are the average steady-state error values. The parameters on the PID controller are adjusted intuitively. The parameters used in data collection consist of the first parameter with the value of  Kp=26,  Ki=14, and  Kd=12, and the second parameter with the value of  Kp=29,  Ki=15, and  Kd=0. The rise time value will increase along with the given speed reference. The overshoot percentage value depends on the speed reference and the PID parameter value. At the same time, the average steady-state error value is below 5% for almost all speed references under loaded and unloaded conditions.
IoT-Based PLC – Factory I/O Integration for Optimizing Production Process Control: Case Study of Box Sorting Systems: Integrasi PLC – Factory I/O Berbasis IoT Untuk Optimalisasi Kendali Proses Produksi: Studi Kasus Sistem Penyortiran Box Angga Wahyu Aditya; Mentari Putri Jati; Hilmansyah; Ihsan; Al Ford Erlangga; Slamet Widodo; Desak Made Ristia Kartika
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.30048

Abstract

Optimization of production processes through virtual technology has been developed across many aspects, including system design and control. This aims to streamline the production costs of optimization systems in industry. The approach is to design a box-sorting system using Factory IO, while the control system uses a Haiwell AC10S0R PLC and a B7H-E HMI. The box sorting control system can be done directly or indirectly. Direct control of the sorting system is carried out via connecting switches, either in physical form via a PLC or in virtual form on the HMI. Sensors are used to classify boxes into three categories: large, medium, and small. This box separation uses three actuators that will insert boxes into each container. The first actuator will insert large boxes into the first container if sensors 1, 2, and 3 are active high. The second actuator will insert medium boxes into the second container if sensors 1 and 2 are active high and sensor 3 is inactive. The third actuator will insert a small box if sensor 1 is active high and sensors 2 and 3 are inactive. Test results show the system can sort all three box categories according to the control logic, with a sorting success rate of 98% and average response times of 1.2 seconds for direct control and 2.2 seconds for remote control. It can also be controlled remotely based on IoT via Haiwell Cloud. ABSTRAK (Bahasa Indonesia) Optimalisasi proses produksi melalui teknologi virtual telah dikembangkan dalam banyak aspek, baik dalam desain sistem maupun pengendalian. Hal ini bertujuan dalam mengefisiensikan biaya produksi sistem optimalisasi pada dunia industri. Pendekatan yang digunakan adalah desain sistem penyortiran box menggunakan Factory IO, sedangkan sistem kendali menggunakan PLC Haiwell AC10S0R dan HMI B7H-E. Sistem kendali penyortiran box dapat dilakukan secara langsung maupun tidak langsung. Kendali sistem penyortiran secara langsung dilakukan berbasis saklar penghubung, baik dalam bentuk fisik melalui PLC maupun saklar penghubung virtual yang terdapat pada HMI. Sensor – sensor digunakan untuk mengklasifikasikan box ke dalam tiga kategori, yakni box besar, sedang, dan kecil. Pemisahan box ini menggunakan tiga buah aktuator yang akan memasukkan box ke masing-masing penampung. Aktuator pertama akan memasukkan box besar ke dalam penampung pertama apabila sensor 1, 2, dan 3 aktif high. Aktuator kedua akan memasukkan box sedang ke dalam penampung kedua apabila sensor 1 dan 2 aktif high dan sensor 3 tidak aktif. Aktuator ketiga akan memasukkan box kecil apabila sensor 1 aktif high dan sensor 2 dan 3 tidak aktif. Hasil pengujian menunjukkan sistem mampu menyortir ketiga kategori box sesuai logika kendali dengan tingkat keberhasilan penyortiran sebesar 98 % dengan rata-rata waktu respons sebesar 1,2 detik pada kendali langsung dan 2,2 detik pada kendali jarak jauh. Serta dapat dikendalikan dari jarak jauh berbasis IoT melalui Haiwell Cloud.