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Khan Mohammad Junaid,Pushparaj 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4
Solar Photo-voltaic (PV) arrays have non-linear characteristics with distinctive maximum power point (MPP) which relies on ecological conditions such as solar radiation and ambient temperature. In order to obtain continuous maximum power (MP) from PV arrays under varying ecological conditions, maximum power point tracking (MPPT) control methods are employed. MPPT is utilized to extract MP from the solar-PV array; high-performance soft computing techniques can be used. In this paper, the proposed hybrid MPPT algorithm is used in the solar-PV system with variable climatic conditions. The performance of the proposed hybrid MPPT algorithm with diff erent membership functions is analyzed to optimize the MPP. Simulation results establish that with the application of MPPT controller such as Perturb and Observe, Fuzzy Logic and a proposed hybrid MPPT for the solar-PV system, the proposed hybrid MPPT controller provides more accurate performance and also reduces the fl uctuation about the MPP as compared to other MPPT techniques.
Junaid Ikram,Nasrullah Khan,Qudsia Junaid,Salman Khaliq,Byung-il Kwon 한국자기학회 2017 Journal of Magnetics Vol.22 No.2
This paper presents a 2-D analytical method to calculate the back EMF of the axial flux permanent magnet synchronous generator (AFPMSG) with coreless stator and dual rotor having magnets mounted on both sides of rotor yoke. Furthermore, in order to reduce the no load voltage total harmonics distortion (VTHD), the initial model of the coreless AFPMSG is optimized by using a developed analytical method. Optimization using the 2-D analytical method reduces the optimization time to less than a minute. The back EMF obtained by using the 2-D analytical method is verified by a time stepped 3-D finite element analysis (FEA) for both the initial and optimized model. Finally, the VTHD, output torque and torque ripples of both the initial and optimized models are compared with 3D-FEA. The result shows that the optimized model reduces the VTHD and torque ripples as compared to the initial model. Furthermore, the result also shows that output torque increases as the result of the optimization.
Nvidia Jetson Xavier ARG를 사용하여 ROS로 로봇 제어
( Junaid Khan Kakar ),( Sang-cheol Kim ) 한국농업기계학회 2022 한국농업기계학회 학술발표논문집 Vol.27 No.2
In a world where artificial intelligence in robotics is so consolidated in many fields and in different applications, there is a need to understand how it works and how we can improve these algorithms in order to optimize them. The primary challenges that are encountered by deploying the robot by using ROS platform in mapping and navigation to create a dynamic environment. The Robot Operating System (ROS) is a flexible framework for writing robot software where a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms. Simultaneous localization and mapping (SLAM) provide a good understanding of the environment for navigation and path planning. In this work, we explore the problem of mapping and navigation by incorporating the semantics of the environment. For the experimental setup, a robot (Scout-WeGo) is designed having equipped with system, RealsenseRGB-D435i camera, SBG navigation inertial sensor and NVidia Jetson Xavier as computation computer. The fundamental task for the robot is to map the unknown environment and successfully navigate through it by avoiding the obstacles. SLAM is a well-known algorithm, which entails the construction or updating of the map of an unexplored environment while simultaneously keeping track of an agent's location within the dynamic environment.
Nvidia Jetson Xavier ARG를 사용하여 ROS로 로봇 제어
( Junaid Khan Kakar ),( Sang-cheol Kim ) 한국농업기계학회 2022 한국농업기계학회 학술발표논문집 Vol.27 No.2
In a world where artificial intelligence in robotics is so consolidated in many fields and in different applications, there is a need to understand how it works and how we can improve these algorithms in order to optimize them. The primary challenges that are encountered by deploying the robot by using ROS platform in mapping and navigation to create a dynamic environment. The Robot Operating System (ROS) is a flexible framework for writing robot software where a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms. Simultaneous localization and mapping (SLAM) provide a good understanding of the environment for navigation and path planning. In this work, we explore the problem of mapping and navigation by incorporating the semantics of the environment. For the experimental setup, a robot (Scout-WeGo) is designed having equipped with system, RealsenseRGB-D435i camera, SBG navigation inertial sensor and NVidia Jetson Xavier as computation computer. The fundamental task for the robot is to map the unknown environment and successfully navigate through it by avoiding the obstacles. SLAM is a well-known algorithm, which entails the construction or updating of the map of an unexplored environment while simultaneously keeping track of an agent's location within the dynamic environment.
Junaid Ikram,Nasrullah Khan,Salman Khaliq,Byung-il Kwon 한국자기학회 2016 Journal of Magnetics Vol.21 No.4
In this paper, model of the axial-flux permanent magnet synchronous generator (AFPMSG) having arc-shaped trapezoidal permanent magnets (PM) is presented. The proposed model reduces the cogging torque and torque ripple, at the expense of lowering the average output torque. Optimization of the proposed model is performed by considering the asymmetric overhang configuration of the PMs, as to make the output torque of the proposed model competitive with the conventional model. The time stepped 3D finite element analysis (FEA) is performed for the comparative analysis. It is demonstrated that the torque ripple of the optimized model is highly reduced as well as average output torque is increased.
Improved Model of the Iron Loss for the Permanent Magnet Synchronous Motors
Junaid, Ikram,Nasrullah, Khan,Kwon, Byung-Il Journal of International Conference on Electrical 2012 Journal of international Conference on Electrical Vol.1 No.2
This paper presents an improved iron loss model, for the computation of the no load iron loss in the stator core of the in-wheel permanent magnet synchronous motors (PMSM), for the cases of with and without stator skew. 2-D analytical model is used for the computation of tooth and yoke flux densities of the in-wheel PMSM. The no load iron loss computed by the improved iron loss model, for the cases of with and without skew is compared with the finite element method (FEM) and the results show good consistency.
Quantum End-to-End Encryption for e-Health Applications
Awais Khan,Junaid ur Rehman,Hyundong Shin 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
Healthcare related information is considered sensitive and it is important to transfer this information securely over the network. In this paper, we establish a secure end-to-end communication channel between user (patient) and healthcare centers (hospital) with the help of server. This channel allows the secure transmission of sensitive health data to healthcare centers. The analysis of the proposed protocol shows that it is secure against different kinds of attacks.