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Your search keyword '"Wijaya, Andika Aji"' showing total 10 results
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10 results on '"Wijaya, Andika Aji"'

1. Enhance Ride Comfort and Road Handling on Active Suspension System by PSO-Based State-Feedback Controller

Author

Wijaya, Andika Aji, Yakub, Fitri, Maslan, Mohd Nazmin, Romdlony, Muhammad Zakiyullah, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Ali Mokhtar, Mohd Najib, editor, Jamaludin, Zamberi, editor, Abdul Aziz, Mohd Sanusi, editor, Maslan, Mohd Nazmin, editor, and Razak, Jeeferie Abd, editor

Published
2022
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4. Maximizing solar power generation through conventional and digital MPPT techniques: a comparative analysis.

Author

Sarang, Shahjahan Alias, Raza, Muhammad Amir, Panhwar, Madeeha, Khan, Malhar, Abbas, Ghulam, Touti, Ezzeddine, Altamimi, Abdullah, and Wijaya, Andika Aji

Subjects
ARTIFICIAL intelligence, SOLAR energy industries, RENEWABLE energy sources, GREENHOUSE gas mitigation, CARBON emissions, SOLAR energy, MAXIMUM power point trackers
Abstract

A substantial level of significance has been placed on renewable energy systems, especially photovoltaic (PV) systems, given the urgent global apprehensions regarding climate change and the need to cut carbon emissions. One of the main concerns in the field of PV is the ability to track power effectively over a range of factors. In the context of solar power extraction, this research paper performs a thorough comparative examination of ten controllers, including both conventional maximum power point tracking (MPPT) controllers and artificial intelligence (AI) controllers. Various factors, such as voltage, current, power, weather dependence, cost, complexity, response time, periodic tuning, stability, partial shading, and accuracy, are all intended to be evaluated by the study. It is aimed to provide insight into how well each controller performs in various circumstances by carefully examining these broad parameters. The main goal is to identify and recommend the best controller based on their performance. It is notified that, conventional techniques like INC, P&O, INC-PSO, P&O-PSO, achieved accuracies of 94.3, 97.6, 98.4, 99.6 respectively while AI based techniques Fuzzy-PSO, ANN, ANFIS, ANN-PSO, PSO, and FLC achieved accuracies of 98.6, 98, 98.6, 98.8, 98.2, 98 respectively. The results of this study add significantly to our knowledge of the applicability and effectiveness of both AI and traditional MPPT controllers, which will help the solar industry make well-informed choices when implementing solar energy systems. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Enhancing of nominal characteristic trajectory following control for motion systems.

Author

Yakub, Fitri, Sarip, Shamsul, Wijaya, Andika Aji, and Mori, Yasuchika

Subjects
*LAUNCH vehicle trajectories, *SYNCHRONOUS capacitors, *FUZZY logic, *AUTOMATIC control systems, *STEADY state conduction
Abstract

The goal of this paper is to enhance a practical nominal characteristic trajectory following (NCTF) controller that is specifically designed for two-mass point-to-point positioning systems. A nominal characteristics trajectory contained in the NCTF controller acts as movement/motion reference and a compensator is utilized to force the object to detect and follow the reference/desired trajectory. The object must follow and track closely and should be as fast as possible. The NCTF controller is designed with two different intelligent based compensator approaches which are fuzzy logic and extended minimal resource allocation network. The proposed controller which is NCTF are compared with the conventional proportional integral compensator. Then the results of simulation are discussed for the positioning performances. The inertia variations due to the effect of the design parameters are also assessed to see the robustness of controllers. The results show that the NCTF control method designed from an intelligent based compensator has a better positioning performance in terms of percentage of overshoot, settling time, and steady state error than the classical based compensator. [ABSTRACT FROM AUTHOR]

Published
2017
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