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120 results on '"Buyamin, Salinda"'

1. Real-Time Simulation for Controlling the Mobility of an Unmanned Ground Vehicle Based on Robot Operating System

Author

Badi, Abubaker Ahmed H., Buyamin, Salinda, Abidin, Mohamad Shukri Zainal, Hassan, Fazilah, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Hassan, Fazilah, editor, Sunar, Noorhazirah, editor, Mohd Basri, Mohd Ariffanan, editor, Mahmud, Mohd Saiful Azimi, editor, Ishak, Mohamad Hafis Izran, editor, and Mohamed Ali, Mohamed Sultan, editor

Published
2024
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6. Speed Control of a BLDC Motor Using Artificial Neural Network with ESP32 Microcontroller Based Implementation

Author

Saleh, Isiyaku, Bature, Amir Abdullahi, Buyamin, Salinda, Shamsudin, Mohamad Amir, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wahab, Norhaliza Abdul, editor, and Mohamed, Zaharuddin, editor

Published
2022
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7. Adaptive Neuro Fuzzy Inference Systems Based Maximum Power Point Tracking for a Photovoltaic System Connected to a Grid

Author

Mohammed, Karam Khairullah, Buyamin, Salinda, Mekhilef, Saad, Rosmin, Norzanah, Shamsudin, Mohamad Amir, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wahab, Norhaliza Abdul, editor, and Mohamed, Zaharuddin, editor

Published
2022
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15. Optimisation of the extended Kalman filter for speed estimation of induction motor drives

Author

Buyamin, Salinda

Subjects
621.46
Abstract

A speed sensorless drive requires the elimination of the sensor; therefore a speed estimator is required. Speed estimation using the Extended Kalman Filter (EKF) is investigated. The use of an EKF as an observer for a sensorless induction motor has been a longstanding subject of research. However, little attempt has been made to optimise the filter performance. First some speed estimation results are presented where the commonly used Trial and Error method is used for tuning the EKF. The performance of the EKF is strictly dependant on the choice of the covariance matrices. Therefore to improve the performance of the EKF, a guided random search technique, Simulated Annealing is proposed. The work concentrates on finding the EKF parameters by the Simulated Annealing algorithm in both low and high performance drives, for constant V/f and vector control. A Genetic Algorithm is also a guided random search technique and in this work the algorithm has been used for comparison purposes on optimising the EKF. The robustness of the EKF parameters tuned by Genetic Algorithm, Simulated Annealing and Trial and Error is compared. The results presented show that Simulated Annealing is more robust against machine parameter variations. Despite the large computation time Simulated Annealing does have the potential of being an alternative method for optimising the EKF. These novel results presented here show that Simulated Annealing is capable of tuning the EKF in the induction motor drives application.

Published
2007

16. Biased Robust Composite Nonlinear Feedback Control of Under Actuated Systems

Author

Bature, Amir A., Buyamin, Salinda, Ahmad, Mohamad N., Abdullahi, Auwalu M., Muhammad, Mustapha, Zainal Abidin, Mohamad Shukri, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Mohamed Ali, Mohamed Sultan, editor, Wahid, Herman, editor, Mohd Subha, Nurul Adilla, editor, Sahlan, Shafishuhaza, editor, Md. Yunus, Mohd Amri, editor, and Wahap, Ahmad Ridhwan, editor

Published
2017
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17. Enhanced Probabilistic Roadmap for Robot Navigation in Virtual Greenhouse Environment

Author

Mahmud, Mohd Saiful Azimi, Zainal Abidin, Mohamad Shukri, Mohamed, Zaharuddin, Abd Rahman, Muhammad Khairie Idham, Buyamin, Salinda, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Mohamed Ali, Mohamed Sultan, editor, Wahid, Herman, editor, Mohd Subha, Nurul Adilla, editor, Sahlan, Shafishuhaza, editor, Md. Yunus, Mohd Amri, editor, and Wahap, Ahmad Ridhwan, editor

Published
2017
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25. MULTI-OBJECTIVE PATHFINDING FOR AUTONOMOUS ROBOT IN AGRICULTURE.

Author

Zangina, Umar, Buyamin, Salinda, Mahmud, Mohd Saiful Azimi, Zimit, Aminu Yahaya, and Abidin, Mohamad Shukri Zainal

Subjects
*AUTONOMOUS robots, *MOBILE robots, *AGRICULTURAL robots, *VEHICLE routing problem, *TRAVEL time (Traffic engineering), *GENETIC algorithms
Abstract

This paper enhanced the autonomy of a mobile agricultural robot in a structured environment to find an optimal path to perform selective and variable spraying of pesticides. To materialize these, a robust VRP (Vehicle Routing Problem) scheme with deterministic variable demand and nonlinear travel time is designed to navigate the robot while making decisions to fulfill the pesticide demand at each node. The nonlinear time function obtained from experiments necessitates the consideration of three objectives simultaneously. The NSGA (non-dominated sorting genetic algorithm)-III algorithm is adopted to determine the optimal path for the robot. To achieve this, the mixed integer algorithm is modified to handle the full integer complex routing problem to optimize three test case scenarios. Finally, the NSGA-III has shown the capability to solve the full integer constraint problem based on the proposed modifications. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Improved Rat Swarm Optimizer Algorithm-Based MPPT Under Partially Shaded Conditions and Load Variation for PV Systems

Author

Mohammed, Karam Khairullah, Mekhilef, Saad, and Buyamin, Salinda

Abstract

Photovoltaics are exposed to partial shading conditions (PSCs). Bypass diodes are installed across series-connected PV modules to avoid the hotspot phenomena, which causes several peaks on the power curve. While a new approach has been presented to distinguish between the uniform shading conditions (USCS) and the PSCS to reduce unnecessary search space area, it leads to faster convergence speed (CS). This paper proposes an improved Rat Swarm Optimizer algorithm (IRSO), based on maximum power point tracking (MPPT), to increase the convergence speed towards the maximum power point. Furthermore, a new approach has been developed to improve speed response during load variation for any dc-dc converter. To make the algorithm more straightforward, one dynamic tuning parameter is used. The proposed method was tested experimentally by implementing a SEPIC converter and the sampling time was adjusted at 0.05 s. The proposed method was successfully implemented experimentally, with an average tracking time of less than 1 s and an efficiency of 99.89% for different irradiance values and load varying conditions. Moreover, the comparison between the proposed method and the metaheuristic algorithms in this domain is implemented and shows the effectiveness of the proposed method in terms of fast tracking, simple implementation and high efficiency.

Published
2023
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36. Fire fighting robot

Author

Ramli, Mimi Faisyalini, Wahid, Herman, Abdul Rahim, Ruzairi, Vadivell, Loganathan, Ahmad, Anita, Buyamin, Salinda, Ibrahim, Sallehuddin, Ramli, Mimi Faisyalini, Wahid, Herman, Abdul Rahim, Ruzairi, Vadivell, Loganathan, Ahmad, Anita, Buyamin, Salinda, and Ibrahim, Sallehuddin

Abstract

Fire-fighting is an important but dangerous occupation. A fire-fighter must be able to put out fire quickly and safely. This is a common way to prevent fatalities and further damages. So, technology has done its part by bridging up the gap between fire fighters and machineries. So, a robot is invented in order to combine both man kind and technology [1]. Fire Fighting Robot is designed to put out a fire, before it reaches out of control. Robot with these fire-handling abilities is a great advantage to replace fire extinguishers [2]. Water-based robot will be an advantage for users to refill the tank as it goes empty. Users can fill up water and keep the robot in a safe position. Water is a basic non-chemical liquid which will not experience any expiry or damage or corrosion. This invention would be a great contribution to mankind in order to ease their work and minimize the risk during fire put out.

Published
2020

46. Development of Automatic Mixing Process for Fertigation System in Rock Melon Cultivation.

Author

Abd Rahman, Muhammad Khairie Idham, Buyamin, Salinda, Zainal Abidin, M. S., and Mokji, Musa Mohd

Subjects
FERTIGATION, ELECTRIC conductivity, HYDROPONICS, ALGORITHMS, GREENHOUSES
Abstract

This work proposed an automatic mixing system of nutrient solution for rock melon fertigation according to the required electrical conductivity (EC) level. Compared to the manual practice, this automatic system will ensure continuous supply of mixed nutrient solution without the need to daily check and mix new nutrient. Thus, this easy to use and low cost automatic system will reduce the burden of the farmers. This system uses an EC sensor to automatically check the concentration level of the mixed nutrient solution. Other than that, the system only consists of electronic pumps for mixing process and an Arduino board as the controller. The controller will monitor the EC level and run the mixing process when the EC level is below the required level. By calibrating the EC sensors, the test shows that the automatic mixing system is able to accurately keep the mixed nutrient solution concentration in a 400 L mixing reservoir at several required levels. [ABSTRACT FROM AUTHOR]

Published
2018
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