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Control System Based on Fuzzy Logic In Nutmeg Oil Distillation Process Syamsul Syamsul; Rudi Syahputra; Suherman Suherman; Zamzami Zamzami
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 5: October 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i5.8350

Abstract

The focus of this research is the application of electronic control on the distillation boiler of nutmeg oil. The control system is based on fuzzy logic and as the input parameter is temperature and vapor pressure. The temperature parameters are set in the range 80-120ºC, and the vapor pressure parameters are set in the range of 1-2.5 atmospheres. The output parameter is the time required in the distillation process. The optimal values of these input and output parameters are embedded in microcontroller based control. The control responds to the temperature and vapor pressure to select the gas flow rate at the distillation boiler. This experiment was conducted on a distillation system with a capacity of 25 kg of crushed dried nutmeg, manually and with control based on fuzzy logic. Conventional testing requires 6.90 kg of gas and applying fuzzy logic based control requires 5.50 kg of gas. The yield of nutmeg oil from the distillation process is 2.5 kg conventionally and 2.63 kg with fuzzy logic control. Based on the optimal time of 16 hours distillation process, there was a decrease of gas consumption by 20.3%.
Performance Comparison of Pure and Modified Sine Wave Inverters in an Off-Grid PV System Nelly Safitri; Rudi Syahputra; Supri Hardi; Saifuddin Muhammad Jalil
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3810

Abstract

This study evaluates the performance of Pure Sine Wave (PSW) and Modified Sine Wave (MSW) inverters within small-scale off-grid solar power generation systems. The assessment was conducted utilizing a 160 Wp monocrystalline solar panel, a 10 A solar charge controller (SCC), a 12.8 V–100 Ah lithium iron phosphate (LiFePO₄) battery, along with both 500 W PSW and MSW inverters, across varying panel tilt angles ranging from 45°-165°. The findings indicated that the PSW inverter delivered a more consistent output voltage between 221 and 222 V, exhibiting minimal fluctuation of ±1 V and low harmonic distortion at 2.5%. The MSW inverter produced an output voltage between 222 and 225.5 V, characterized by greater variability and higher harmonic distortion under both light and heavy load conditions. The analysis of the solar photovoltaic (PV) system provides critical insights into the performance differences between the two inverter types. Notably, the results related to tilt angle are not merely supplementary; they serve as indicators of varying irradiance conditions, enabling a more comprehensive evaluation of inverter performance concerning fluctuations in input power levels. Both PSW and MSW inverters achieved an efficiency rating of 85%, ensuring stable and smooth outputs. However, with regard to long-term reliability, the PSW inverter significantly surpasses its counterpart, rendering it a more appropriate choice for permanent solar PV installations. As the results, the PSW inverter is particularly suited for sensitive loads that demand high power quality, while the MSW inverter remains viable for less demanding applications when the cost is considered.
Smart panel design for renewable energy generation Rudi Syahputra; Nelly Safitri; Fauzan Fauzan; Yassir Yassir; Teuku Hasannuddin; Akhyar Akhyar; Radhiah Radhiah; Zulfikar Zulfikar
Indonesian Journal of Electrical Engineering and Computer Science Vol 43, No 1: July 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v43.i1.pp18-27

Abstract

The aim of this study is to design and develop a smart panel module specifically for solar power generation, which includes three critical functions: the automatic transfer switch (ATS), the automatic main failure (AMF), and capabilities for remote monitoring and control. The ATS and AMF features employ Haiwell AT12MOT Ethernet PLC control equipment in conjunction with the Haiwell B7H Ethernet IoT cloud HMI, both designed for remote operation through an IoT system and integrated with the Haiwell cloud application. The developed PLC program interacts with HMI software that is created using NB designer. Inputs from the PLC are monitored and managed via the Haiwell cloud application, which connects with the relay designated as input for the Haiwell AT12MOT PLC. The resulting design interfaces with the PLC output located within an electrical panel specifically designed to handle industrial loads. This research results in a smart panel capable of operating in an industrial context with a power capacity of 2,200 VA. It is noteworthy that during automatic operations, load transfers between solar power systems and PLN (the national grid company of Indonesia) do not occur instantaneously; instead, there is a delay of 10 seconds as the system stabilizes back to normal conditions.