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A New FL-MPPT High Voltage DC-DC Converter for PV Solar Application

Distributed Generation and Alternative Energy Journal 2022年第5期37卷 1527-1548页

作者： Sutikno, Tole Subrata, Arsyad Cahya Jusoh, Awang Department of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Embedded Systems & Power Electronics Research Group Yogyakarta Indonesia Department of Electrical Power Engineering Universiti Teknologi Malaysia Johor Malaysia

To reduce the effects of global warming, there is an increasing need for renewable energy sources. Several studies have been carried out on photovoltaic (PV) systems to maximize their potential as an alternative electricity generator. However, various power converters for high voltage ratio applications have multiple drawbacks. This research was carried out to develop a power converter topology connected between the PV and the load for the need. In this research, the high step-up DC-DC converter for high-voltage gain conversion ratio and high efficiency is proposed. Furthermore, the fuzzy logic-based Maximum Power Point Tracking (MPPT) technique connected to the power converter was used to maximize the power converted from PV in changing atmospheric conditions. The MPPT control with fuzzy logic controller (FLC) was analysed and compared with the perturb and observe (P&O) algorithm. The results showed that the FLC algorithm could control the high step-up (HSU) DC-DC converter with an output voltage of 29% higher than the P&O algorithm. © 2022 River Publishers.

关键词： Fuzzy logic

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Adaptive Robust Control Integrated With Gaussian Processes for Quadrotors: Enhanced Accuracy, Fault Tolerance and Anti-Disturbance

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IEEE Transactions on systems, Man, and Cybernetics: systems 2025年第5期55卷 3235-3248页

作者： Liang, Weisheng Amer, Abdelhakim Mehndiratta, Mohit Chen, Zheng Yao, Bin Kayacan, Erdal Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou310027 China Aarhus University Artificial Intelligence in Robotics Laboratory Department of Electrical and Computer Engineering Aarhus8000 Denmark GIM Robotics Espoo02650 Finland Zhejiang University Ocean College Ocean Research Center of Zhoushan Zhoushan316021 China Purdue University School of Mechanical Engineering West Lafayette47907 United States Department of Electrical Engineering and Information Technology Paderborn33098 Germany

With increasingly challenging applications for quadrotors, higher requirements are emerging for tracking accuracy and safety. While high accuracy is a prerequisite for complex tasks, safety is ensured through tolerance to actuator faults and resistance to external disturbances. In this article, adaptive robust control (ARC) integrated with Gaussian processes (GPs), i.e., ARC-GP, is proposed to achieve enhanced accuracy, fault tolerance, and anti-disturbance. These three requirements are interrelated and affected by uncertainties. The primary idea of this article is to categorize uncertainties into parametric and nonparametric types, which are then addressed through parameter adaptation and GP, respectively. First, a detailed dynamic model is established, including actuator models that reflect different types of faults corresponding to changes in different physical parameters. Then, parameter adaptation is designed, with direct and indirect methods adopted for different parameters. In particular, the actuator parameters are effectively estimated to achieve targeted fault compensation. Regarding GP for nonparametric uncertainties, its model parameters are also updated via parameter adaptation. The GP thereby also learns parameter estimation errors along with external disturbances. Accordingly, ARC controllers are designed, for which robust feedback terms are constructed to further mitigate uncertainties on the basis of the covariances predicted by GP. The experiments demonstrate that the proposed ARC-GP can actively tolerate various types of actuator faults and better resist wind disturbances. © 2013 IEEE.

关键词： Robust control

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A Design Concept and Kinematic Model for a Soft Aquatic Robot with Complex Bio-mimicking Motion

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Journal of Bionic engineering 2022年第1期19卷 16-28页

作者： Shokoofeh Abbaszadeh Roberto Leidhold Stefan Hoerner Institute of Electrical Power Systems Department of Electrical Engineering and Information TechnologyOtto-Von-Guericke University of MagdeburgUniversitätsplatz 239106MagdeburgGermany Institute of Fluid Dynamics and Thermodynamics Department of Process and Systems EngineeringOtto-Von-Guericke University of MagdeburgUniversitätsplatz 239106MagdeburgGermany

Fish mortality assessments for turbine passages are currently performed by live-animal testing with up to a hundred thousand fish per year in Germany.A propelled sensor device could act as a fish *** this context,the study presented here investigates the state of the art via a thorough literature review on propulsion systems for aquatic *** evaluation of propulsion performance,weight,size and complexity of the motion achievable allows for the selection of an optimal concept for such a fish mimicking device carrying the *** the second step,the design of a bioinspired soft robotic fish driven by an unconventional drive system is *** is based on piezoceramic actuators,which allow for motion with five degrees of freedom(DOF)and the creation of complex bio-mimicking body motions.A kinematic model for the motion’s characteristics is developed,to achieve accurate position feedback with the use of strain *** measurements validate the complex deformation of the body and deliver the basis for the calibration of the kinematic ***,it can be shown,that the calibrated model presented allows the tracking of the deformation of the entire body with an accuracy of 0.1 mm.

关键词： Unconventional drive system Biologically inspired robots Biomimetics Flexible robots

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Nickel-Based Ultra-Thin Nano Architect Metamaterial Absorber for Optical and NIR Regime 8th

Nickel-Based Ultra-Thin Nano Architect Metamaterial Absorber...

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8th International Conference on Space Science and Communication, IconSpace2023

作者： Hanif, Abu Alam, Touhidul Ahsan, Tanveer Mansor, Mohd Fais Selangor Bangi43600 Malaysia Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia UKM Selangor Bangi43600 Malaysia

ISBN: (纸本)9789819701414

This article proposed ultra-thin square ring-shaped metamaterial absorber nano-architectures for optical and near-infrared regime (NIR). The absorber structure comprises three layers of nickel-polyimide-nickel (Ni–Pi–Ni) material and accomplishes better absorption performance. It shows an absorption rate of 99% across a large bandwidth ranging from 990 to 1210 nm wavelength. Additionally, it shows high average absorptivity of 93.97% in the optical regions (380–700 nm) and 96.95% in the NIR regime (700–2100 nm) at 0° incidence angle of electromagnetic waves. The absorber exhibits polarization insensitivity and remains stable at oblique incidence angles up to 70° for both transverse electric (TE) and transverse magnetic (TM) modes. The study also investigates metamaterial properties, electric and magnetic characteristics, as well as surface current distribution to understand the absorption behavior. The main notable features of this metamaterial absorber are its wideband near-perfect absorptivity in the NIR regime and its structurally simple configuration. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Nickel

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Retinal thermal deformations measured with phase-sensitive optical coherence tomography in vivo

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光：科学与应用（英文版） 2025年第5期14卷 1459-1468页

作者： Yueming Zhuo Mohajeet Bhuckory Huakun Li Junya Hattori Davis Pham-Howard David Veysset Tong Ling Daniel Palanker Department of Electrical Engineering Stanford UniversityStanfordCA 94305USA Hansen Experimental Physics Laboratory Stanford UniversityStanfordCA 94305USA Hansen Experimental Physics Laboratory Stanford UniversityStanfordCA 94305USA Department of Ophthalmology Stanford UniversityStanfordCA 94305USA School of Chemistry Chemical Engineering and BiotechnologyNanyang Technological UniversitySingaporeSingapore Department of Mechanical Engineering The University of TokyoTokyoJapan Wellman Center for Photomedicine Harvard Medical SchoolMassachusetts General HospitalBostonMA 02114USA School of Chemistry Chemical Engineering and BiotechnologyNanyang Technological UniversitySingaporeSingapore Singapore Eye Research Institute Singapore National Eye CentreSingaporeSingapore SERI-NTU Advanced Ocular Engineering(STANCE)Program SingaporeSingapore School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore

Controlling the tissue temperature rise during retinal laser therapy is essential for predictable outcomes,especially at non-damaging *** demonstrate a method for determining the temperature rise in the retina using phase-sensitive optical coherence tomography(pOCT)in *** based on the thermally induced optical path length changes(ΔOPL)in the retina during a 10-ms laser pulse allow detection of the temperature rise with a precision less than 1 ℃,which is sufficient for calibration of the laser power for patient-specific non-damaging *** observed a significant difference in confinement of the retinal deformations between the normal and the degenerate retina:in wild-type rats,thermal deformations are localized between the retinal pigment epithelium(RPE)and the photoreceptors' inner segments(IS),as opposed to a deep penetration of the deformations into the inner retinal layers in the degenerate *** implies the presence of a structural component within healthy photoreceptors that dampens the tissue expansion induced by the laser heating of the RPE and pigmented *** hypothesize that the thin and soft cilium connecting the inner and outer segments(IS,OS)of photoreceptors may absorb the deformations of the OS and thereby preclude the tissue expansion further *** difference in the confinement of the retinal deformations induced by a laser pulse in healthy and degenerate retina may be used as a biomechanical diagnostic tool for the characterization of photoreceptors degeneration.

关键词： tomography with vivo coherence deformations measured optical phase-sensitive retinal thermal

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Data Augmentation and Random Multi-Model Deep Learning for Data Classification

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Computers, Materials & Continua 2023年第3期74卷 5191-5207页

作者： Fatma Harby Adel Thaljaoui Durre Nayab Suliman Aladhadh Salim EL Khediri Rehan Ullah Khan Computer Science Department Future Academy-Higher Future Institute for Specialized Technological StudiesEgypt Department of Computer Systems Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawar25120Pakistan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Sciences Faculty of Sciences of GafsaUniversity of GafsaGafsaTunisia

In the machine learning(ML)paradigm,data augmentation serves as a regularization approach for creating ML *** increase in the diversification of training samples increases the generalization capabilities,which enhances the prediction performance of classifiers when tested on unseen *** learning(DL)models have a lot of parameters,and they frequently ***,to avoid overfitting,data plays a major role to augment the latest improvements in ***,reliable data collection is a major limiting ***,this problem is undertaken by combining augmentation of data,transfer learning,dropout,and methods of normalization in *** this paper,we introduce the application of data augmentation in the field of image classification using Random Multi-model Deep Learning(RMDL)which uses the association approaches of multi-DL to yield random models for *** present a methodology for using Generative Adversarial Networks(GANs)to generate images for data *** experiments,we discover that samples generated by GANs when fed into RMDL improve both accuracy and model *** across both MNIST and CIAFAR-10 datasets show that,error rate with proposed approach has been decreased with different random models.

关键词： Data augmentation generative adversarial networks classification machine learning random multi-model deep learning

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FedDist-POIRec: Federated Distillation for Point-Of-Interest Recommendation in Human Mobility Prediction 4

FedDist-POIRec: Federated Distillation for Point-Of-Interest...

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4th IEEE International Conference on Human-Machine systems, ICHMS 2024

作者： Rezaei, Esmatollah Seyedmohammadi, S. Jamal Abouei, Jamshid Plataniotis, Konstantinos N. Yazd University Dept. Of Electrical Engineering Yazd Iran Concordia University Inst. Of Information Systems Engineering Montreal Canada University Of Toronto Edward S. Rogers Sr. Department Of Electrical And Computer Engineering Toronto Canada

ISBN: (纸本)9798350315790

Next Point-of-Interest (POI) recommendation plays a vital role in human mobility prediction within Location-based Social Networks (LSBN), assisting individuals to decide on their next destination. However, traditional centralized systems rely on large datasets of previous POI check-ins, which raises privacy and computation concerns. In this regard, Federated Learning (FL) has emerged as a promising solution, enabling distributed training of machine learning models while preserving user privacy. In this paper, we propose a novel FL-based POI recommendation system, FedDist-POIRec, that utilizes Federated Distillation (FD) in a semi-synchronous framework to promote privacy, recommendation efficiency, and cope with resource heterogeneity by considering heterogeneous model architectures among users. Additionally, to alleviate the sparsity of user checkin lists, we employ a innovative knowledge aggregation technique, where the knowledge of each user is aggregated with that of users who share similar preferences. Simulation results demonstrate that FedDist-POIRec outperforms the baseline methods in terms of recommendation efficiency and communication cost, while keeping the computation cost at an acceptable level. © 2024 IEEE.

关键词： Distillation

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Toward Safe and Efficient Human-Robot Interaction via Behavior-Driven Danger Signaling

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IEEE Transactions on Control systems Technology 2024年第1期32卷 214-224页

作者： Hosseinzadeh, Mehdi Sinopoli, Bruno Bobick, Aaron F. Washington State University School of Mechanical and Materials Engineering PullmanWA99164 United States Washington University in St. Louis Department of Electrical and Systems Engineering St. LouisMO63130 United States Washington University in St. Louis Department of Computer Science and Engineering St. LouisMO63130 United States

This article introduces the notion of danger awareness in the context of human-robot interaction, which decodes whether a human is aware of the existence of the robot, and illuminates whether the human is willing to engage in ensuring safety. This article also quantifies the notion as a single binary variable, called danger awareness coefficient, and provides a game-theoretic interpretation for that. Employing an online Bayesian learning method to update the robot's belief about the human's danger awareness by observing their actions, it is shown how the robot can build a predictive human model to anticipate the human's future actions. To enrich robot's observations, and thus to improve safety and efficiency of the robot, the robot is equipped with a danger signaling system to generate awareness in the human. Finally, a planning scheme is proposed to provide an efficient and probabilistically safe plan for the robot. The effectiveness of the proposed scheme is demonstrated through simulation studies on an interaction between a self-driven car and a pedestrian. © 1993-2012 IEEE.

关键词： Human robot interaction

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WEED DETECTION AND REMOVAL USING AUTONOMOUS MOBILE ROBOT

WEED DETECTION AND REMOVAL USING AUTONOMOUS MOBILE ROBOT

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2025 International Conference on Energy, Power, Environment, Control and Computing, ICEPECC 2025

作者： Khalid, Faria Malik, Rabia Muhammad, Wasif Mehmood, Zubair Irshad, Muhammad Jehanzeb Siddique, Nazam Intelligent Systems Laboratory Department of Electrical Engineering University of Gujrat Gujrat50400 Pakistan

ISBN: (纸本)9781837243235

Weed plants are the unwanted plants which grow in crop fields where their growth is not wanted. They consume all the nutrients which are necessary for growth of crop plants. Therefore, their removal is mandatory for proper growth of crop plants. The autonomous weed control robot is used to remove these unwanted weed plants. For removal of weed plants, different traditional methods are being used which damages the crop plants and eventually reduces the yield. Autonomous Weed Control Robot is introduced to control weed plants and to remove them without harming crop plants. This weeds control robot consists of an Ackerman Architecture and delta robot. The delta robot along with two cameras and a technique named visual servoing detects the weed plants and their positions respectively. First of all, through an image acquisition process input image will be acquired from camera and image processing will perform different functions on the input image and provide the position coordinates of weed plants. Then, by using visual servoing technique, delta robot moves to desired location of the weed plants. After that, with the help of a hoe tool the detected weed plants are being removed. Ackerman Architecture will work by navigating itself in the field. The results obtained from this work, is controlled growth rate and removal of weed plants along-with the increase in production of crops yield. Thus, this proposed work will be useful in all the agricultural fields where the usage of modern technology will reduce the use of agrochemicals and herbicides in the fields. © The Institution of engineering & Technology 2025.

关键词： Weed control

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Non-volatile Si microring resonator switch with Ge2Sb2Te3S2 optical intensity modulator

Non-volatile Si microring resonator switch with Ge2Sb2Te3S2 ...

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2025 IEEE Silicon Photonics Conference, SiPhotonics 2025

作者： Kobayashi, Kenji Miyatake, Yuto Tang, Rui Makino, Kotaro Tominaga, Junji Miyata, Noriyuki Okano, Makoto Toprasertpong, Kasidit Takagi, Shinichi Takenaka, Mitsuru The University of Tokyo Department of Electrical Engineering and Information Systems Tokyo Japan Tsukuba Japan

ISBN: (纸本)9798331506186

We demonstrate microring resonator (MRR) optical switch using phase change material Ge2Sb2Te3Se2 (GSTS). With negligible optical absorption in amorphous GSTS, the MRR maintains its Q-factor after GSTS integration. Successful non-volatile switching is achieved over broad wavelength range with crystalline GSTS, enabling multi-wavelength programmable photonic circuits. © 2025 IEEE.

关键词： Q factor measurement

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