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A Comprehensive exploration of jatropha curcas biodiesel production as a viable alternative feedstock in the fuel industry – Performance evaluation and feasibility analysis Milano, Jassinnee; Silitonga, Arridina Susan; Tiong, Sieh Kiong; Ong, Mei Yin; Masudi, Ahmad; Hassan, Masjuki Haji; Nur, Taufik Bin; Nurulita, Bela; Sebayang, Abdi Hanra; Sebayang, Adri Rakha
Mechanical Engineering for Society and Industry Vol 4 No 1 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.10610

Abstract

Jatropha Curcas stands out as a promising plant-based feedstock, offering a non-edible oil that holds great potential as an alternative fuel to traditional diesel. Notably, Jatropha oil boasts favourable fuel properties, including a higher oil content compared to other alternatives. This attribute makes it an attractive candidate for biodiesel production. Importantly, as a non-edible oilseed feedstock, Jatropha Curcas helps mitigate concerns related to food prices and the ongoing food versus fuel debate, offering a sustainable solution to the growing energy demands. Furthermore, the plant exhibits impressive yields, with the potential to produce up to 40% oil weight per seed. This high yield not only enhances the economic viability of Jatropha-based biodiesel but also underscores its efficiency as a feedstock. The discussion extends beyond mere fuel properties, encompassing a comprehensive comparative review that delves into engine performance and emission characteristics associated with Jatropha Curcas. The novelty of this paper lies in its exploration of the crude oil aspects of Jatropha curcas, shedding light on an essential facet often overlooked. By presenting a thorough analysis of fuel properties, engine performance, and emission characteristics, the paper contributes valuable insights to the discourse on sustainable energy solutions. Moreover, it goes beyond technical aspects and provides perspectives on the current economic status, offering a holistic view of the potential impact of Jatropha Curcas in the broader context of renewable energy and economic development.
Enhanced Voltage Regulation of Buck Converter-Fed DC Motors Using Fuzzy Logic Control Under Dynamic Load Conditions Mohamed, Mawada Ahmed; Toha, Siti Fauziah; Abdullah, Muhammad; Ahmad, Salmiah; Nor, Khairul Affendy Md.; Hassan, Masjuki Haji; Idris, Ahmad Syahrin
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1836

Abstract

Buck converters are widely employed in power electronics for efficient DC voltage regulation, particularly in applications such as motor drives and embedded systems. However, conventional control methods, such as PID, often exhibit limitations including significant voltage ripple, overshoot, and sluggish dynamic response under varying load conditions. This study introduces a fuzzy logic controller (FLC) integrated into a buck converter system to address these challenges through adaptive and nonlinear control. The research contribution is the design and simulation of an FLC-based voltage regulation strategy that enhances output stability and improves transient performance in DC motor applications. The proposed buck converter operates in continuous conduction mode and consists of an IGBT switch, inductor, diode, and filter capacitor. The FLC employs voltage deviation and its rate of change as input variables and utilizes a 25-rule Mamdani fuzzy inference system to modulate the duty cycle in real time. Simulated in MATLAB Simulink with a dynamic DC motor load, the FLC demonstrates superior control characteristics over the PID controller. Most notably, voltage ripple is reduced by over 65%, leading to improved voltage stability and reduced fluctuations. The FLC also exhibits faster settling behavior and better handling of dynamic load variations, confirming its effectiveness in nonlinear and time-varying systems. Future work will focus on hardware validation, hybrid control integration, and deployment in renewable energy and electric vehicle systems to improve adaptability and real-world performance.