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8th IEEE International Conference on engineering Technologies and Applied Sciences, ICETAS 2023

作者： Guler, Nivine Hazem, Zied Ben University of Technology Bahrain Department of Informatics Engineering 18041 Bahrain University of Technology Bahrain Department of Mechatronics Engineering 18041 Bahrain

ISBN: (纸本)9798350327090

In dynamic energy harvesting wireless sensor network systems (EHWSNs), the amount of harvested energy depends on the radiation parameters of the antenna. A radio frequency (RF) energy-harvesting antenna must be portable, compact, and integrable to enable easy embedding in the network which is a new advancement for EHWSNs. In the literature, most medium access control (MAC) protocols for EHWSNs were studied without taking into consideration the effect of the dynamic nature of energy harvesting. Most of the existing works didn't study the benefits that both the predicted energy harvesting factor and the integration of the duty cycle (DC) of the sensor nodes with the predicted amount of harvested energy might provide for enhancing the system performance. This paper presents EADS-EHWSNs, a MAC protocol that is prediction-based energy harvesting with an adaptive duty cycle (ADC) depending on the predicted EH amount and the geographical distance to the cluster head or sink in case the node is the cluster head. The proposed EADS-EHWSNs incorporate a machine learning model, namely Deep Learning Neural Network (DNN), to achieve good prediction accuracy under variant EH amounts. Simulation has been carried out using GreenCastalia to evaluate the network performance of the proposed EADS-EHWSNs. The network performance metrics include packet delay, network throughput, packet delivery ratio, and network energy consumption. In comparison with the three state-of-the-art EHWSNs protocols, results show that EADS-EHWSNs provide the lowest average end-to-end delay for the high and low-priority packets, network energy consumption by the approximate average of 21%, 18%, and 74%, respectively. In regard to network throughput and packet delivery ratio, EADS-EHWSNs outperforms the three protocols by an approximate average of 39% and 44%, respectively. © 2023 IEEE.

关键词： Energy harvesting

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Evaluation of FG using RPO in EDPS via DO Considering Load Variations

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Journal of engineering Science and technology Review 2025年第1期18卷 146-156页

作者： Kumar, N.M.G. Srinivasan, G. Raj, L. Hubert Tony Lavanya, M. A. Rangampet A.P. Tirupati517102 India Near ITPB Channasandra Whitefield Bangalore560067 India Department of Electrical and Electronics Engineering Mahalingam College of Engineering and Technology Udumalai Road Tamilnadu Pollachi642003 India Department of Mechatronics Engineering SONA College of Technology Junction Road Tamilnadu SALEM636005 India

Reactive Power Optimization (RPO) is a major problem in Electric Distribution Power Systems (EDPS) since it reflects in the competent transfer of real power to the consumers, frees up the feeder capacity, enrichment in node voltage profile, power factor improvement and reduction in power/energy losses. The most extensively adopted method for RPO is the Shunt Capacitors (SCs) installed at optimal locations in the EDPSs. This work considers optimal placement and sizing of capacitors in radial EDPS to achieve maximum Financial Gain (FG) by reducing real (KWh) and reactive energy loss (KVARh) with capacitor investment cost using Dingo Optimizer (DO) subject to fulfillment of equality and inequality constraints. Normally, researchers adopt a Sensitivity-based Index (SBI) to identify the optimal node for RPO. However, in this work, the proposed optimization technique will do both optimal placement and sizing of capacitors. The efficacy of the projected technique has been validated using three EDPS, such as the 62-bus system (extracted from the Indian 118- bus test system), the Indian 85-bus, and the real Portuguese 94-bus EDPS. The outcomes of DO have been compared with other optimization techniques available in the literature. Simulated results reveal that DO effectively minimizes energy loss and reactive energy loss with considerable improvement in cost saving. The proposed DO technique achieved substantial drops in PLT and QLT of around 35% in a 62-node EDPS with an FG of $74886.78/year, 51-54.5% in the case of an Indian 85-node EDPS with an FG of $91323.88/year, and 23-29% in a Portuguese 94-bus EDPS with an FG of $59237.53/year. © (2025), (International Hellenic University School of Science and technology). All rights reserved.

关键词： Energy dissipation

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Enhancing Outdoor Warehouse Operations: Design and Development of GPS and Compass-Guided Automatic Vehicles 11

Enhancing Outdoor Warehouse Operations: Design and Developme...

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11th International Conference on Cyber and IT Service Management, CITSM 2023

作者： Ketsayom, Singhanart Maneetham, Dechrit Aung, Myo Min Srichaipanya, Wichian Rajamangala University of Technology Thanyaburi Faculty of Technical Education Department of Mechatronics Engineering Thanyaburi Thailand Rajamangala University of Technology Thanyaburi Faculty of Technical Education Department of Mechatronics Engineering Pathum Thani Thailand

ISBN: (纸本)9798350305968

In the dynamic landscape of modern manufacturing, the imperative to achieve efficiency, precision, and adaptability has driven the integration of cutting-edge technologies. Amid these advancements, the Automated Guided Vehicle (AGV) has emerged as a transformative catalyst, seamlessly merging robotics and navigation systems to bolster factory operations. As an inconspicuous workforce, the AGV adeptly oversees intricate tasks, effortlessly navigating material distribution pathways and delivering finished products. However, the prevailing high cost of commercially available AGVs poses a substantial challenge for small and medium-sized factories. To address this issue, this research endeavors to design and construct a low-cost AGV with a specialized focus on material transportation beyond factory confines. The foundation of the AGV's navigation system is established through a fusion of diverse sensors and actuators. Leveraging the Ublox NEO6MV2 GPS device for location acquisition and complemented by a compass sensor for orientation determination, the AGV charts its course. Movement is dictated by calculating heading errors for feedback control, eschewing conventional PID methods. Motor speed modulation is achieved by harnessing PWM generated through a closed-loop PID control system. The AGV is enhanced with an obstacle avoidance system, enriching its navigational capabilities. This research underscores the pursuit of a low-cost AGV solution to mitigate financial barriers faced by smaller factories. By employing an amalgamation of sensor technologies and refining navigational strategies, the study's outcomes aim to pioneer an accessible AGV model tailored for external material transportation. Ultimately, this research contributes to democratizing automation and enhancing the viability of advanced manufacturing processes. © 2023 IEEE.

关键词： Three term control systems

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Droop Control Implementation in Bidirectional Step-Up/Down Partial Power Converter for Battery Energy Storage Applications 64

Droop Control Implementation in Bidirectional Step-Up/Down P...

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64th IEEE Annual International Scientific Conference on Power and Electrical engineering of Riga Technical University, RTUCON 2023

作者： Hassanpour, Naser Chub, Andrii Blinov, Andrei Vinnikov, Dmitri Tallinn University of Technology Departments of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798350317732

The droop control is the most common method in decentralized control of the dc microgrids. In this paper, the linear droop control is applied to a battery energy storage system (BESS) using a bidirectional step-up/down (BDSUD) series partial power dc-dc converter (S-PPC). The novelty of the work is that none of the S-PPCs proposed in the literature is examined for their effectiveness in implementing the droop control strategy. The phase shift modulation and flyback secondary modulated conversion method are used to operate the converter in different modes. The simulation results in PSIM software confirm the feasibility of the converter for the given applications and demonstrate an effective droop control implementation strategy combining different converter operating modes in four quadrants. © 2023 IEEE.

关键词： Battery storage

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Effectiveness of Titanium Dioxide Nano Fillers on Sisal fiber for Enhanced Mechanical Properties and Occupant Protection in Hybrid Nanocomposites

Effectiveness of Titanium Dioxide Nano Fillers on Sisal fibe...

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2023 International Conference on Trends in Automotive Parts Systems and Applications, TAPSA 2023

作者： Natrayan, L. Seeniappan, Kaliappan Saveetha School of Engineering SIMATS Department of Mechan India KCG College of Technology Department of Mechatronics Engine India

Vehicle occupant protection remains a critical concern in the field of crashworthiness technology. When integrated into polymer nanocomposites, natural fibres like sisal offer a high strength-to-weight ratio that can contribute to effective energy absorption during collisions. However, these fibers present challenges, such as poor hydrophilicity and moisture retention. This study employs compression molding techniques to create hybrid composites of sisal fibers, epoxy, and titanium oxide nano fillers. We particularly investigate how fiber orientation and the concentration of nano fillers can optimize mechanical and thermal properties, thereby enhancing occupant protection features. Our findings demonstrate that the orientation of sisal fibers and the incorporation of titanium oxide nano fillers in the epoxy matrix significantly influence the composite's mechanical and thermal characteristics. Composites reinforced with continuous sisal fibers exhibited an 11%-18% increase in impact strength compared to those with randomized fibers. Additionally, a 3% improvement in hardness was recorded for the same comparison. In the context of nano fillers, 8 wt.% of titanium oxide added to woven sisal fibers resulted in a peak tensile strength of 81.25 MPa. When 6 wt.% was added to woven sisal fibers, the composite reached an impact strength of 31.58 J and showed enhanced hardness properties. These improvements in mechanical properties are particularly crucial for energy absorption and dispersion, key factors in occupant protection during vehicular crashes. Interestingly, the density of composites was notably lower with 2 wt% TiO2 compared to those with 4 wt% TiO2, a factor attributed to the high-density nature of the nanoparticles. © 2024 SAE International.

关键词： Thermodynamic properties

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Efficient Path Planning and Cruise Control Features In Self-Driving Cars Using ROS2 & Machine Learning 3

Efficient Path Planning and Cruise Control Features In Self-...

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3rd IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Hassan, Mumit Maliha, Mahmuda Haque Hossain, Jamil Talukder, Imnul Haque Ruman Hasan, Md. Mehedi Ahmed, Faisal Chittagong University of Engineering & Technology Department of Mechatronics & Industrial Engineering Chattogram4349 Bangladesh Chittagong University of Engineering & Technology Department of Electrical & Electronic Engineering Chattogram4349 Bangladesh Chittagong University of Engineering & Technology Department of Mechanical Engineering Chattogram4349 Bangladesh

ISBN: (纸本)9798331534400

This study proposes an integrated approach that uses machine learning and ROS2 as a combined tool to provide effective path planning and cruise control capabilities in self-driving cars. For object identification and environment perception, the suggested system makes use of Convolutional Neural Networks (CNN) and Haarcascade algorithm. As well as A∗ and Dijkstra algorithms are applied for finding optimal path and navigation through challenging situations such as T-junctions and cross intersections. Reliable autonomous navigation is demonstrated by the system's efficient integration of motion planning and lane assistance. The model can improve self-driving capabilities, leading to safer and more effective autonomous driving solutions, as demonstrated by experimental findings. © 2024 IEEE.

关键词： Convolutional neural networks

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A Space-Type 4-DOF Precision Operation Stage with A Large Stroke Three-Stage Motion Amplification Mechanism

A Space-Type 4-DOF Precision Operation Stage with A Large St...

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2024 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2024

作者： Dang, Yajie Zhang, Hongjie Jia, Chuanming Tiangong University Tianjin Key Laboratory of Modern Mechatronics Equipment Technology School of Mechanical Engineering Tianjin China

ISBN: (纸本)9798350362107

This research presents a large stroke three-stage motion amplification mechanism (MAM) space-type 4-DOF precision operation stage. In response to the size limitation of piezoelectric actuators (PEAs), a novel three-stage MAM is developed to provide a vast workspace. The three-stage MAM is folded to create a compact structure, drawing inspiration from the deployable construction. The pseudo rigid body model (PRBM) technique was used to model the kinematics of the XY table, and the workspace and kinematic performance of the XY and Z stages were analyzed by finite element analysis. The findings of the simulation indicate that the X- and Y- axis can move up to 254.5 μm in maximum output. The motion amplification ratios can reach 25.4 in the X- and Y- axis. The output displacement and output angle can reach 10.1 μm and 0.33 rad in the Z-axis. The first natural frequency of the XY platform and the Z platform are up to 143.5 Hz and 1748 Hz. The precision operation stage designed in this paper provides greater operational flexibility for the operating tool. © 2024 IEEE.

关键词： Rigid structures

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Development of Advanced Control Strategy Based on Soft Actor-Critic Algorithm 11

Development of Advanced Control Strategy Based on Soft Actor...

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11th International Scientific Conference on Computer Science, COMSCI 2023

作者： Hlavaty, Michal Kozakova, Alena Slovak University of Technology Institute of Automotive Mechatronics Faculty of Electrical Engineering and Information Technology Bratislava Slovakia

ISBN: (纸本)9798350325256

The paper demonstrates the differences between two reinforcement learning methods - the Actor-Critic (AC) and the Soft Actor-Critic (SAC) applied for the benchmark pendulum and double pendulum control problems. The advantages and disadvantages of both methods as well as proposed modifications of the algorithms are discussed. The neural network has been developed using the Python and Tensorflow 2 libraries, and PyBullet Envs was used for environment simulations the case study. © 2023 IEEE.

关键词： Pendulums

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Effects of pack boriding and induction boriding on the dry sliding wear behavior of high speed steel

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Materials Today: Proceedings 2022年 59卷 1105-1110页

作者： Vinodh Kumar, S. Surya Raj, G. Prince, M. Department of Mechanical Engineering Sri Krishna College of Technology Coimbatore 641042 India Department of Mechatronics Engineering Park College of Engineering and Technology Coimbatore 641659 India

In this research work, the effects of pack boriding and induction boriding are investigated experimentally using dry sliding pin on disc wear test. Pack boriding and induction boriding can offer hardness in the range of 1650 HV–2500 HV which is 3.5–4 times higher than that of the hardness of the plain HSS. Induction boriding has the ability offer high hardness in the range of 1850 HV to 2500 HV which is slightly higher than the hardness of pack boriding due to the presence of B4C particles present on the surface. Pack boriding and induction boriding reduces wear significantly when compared to the plain HSS. The wear performance of induction borided specimens is comparably as good as the pack borided specimens at 1 kg and 2 kg loads. However, induction borided specimens exhibit better wear performance at 3 kg load. © 2022

关键词： Wear of materials

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Design of the Stand for Experimental Tests of Pneumatic Bellows Actuators

Design of the Stand for Experimental Tests of Pneumatic Bell...

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International Scientific-Technical Conference on Hydraulic and Pneumatic Drives and Controls, NSHP 2023

作者： Takosoglu, Jakub Ziejewski, Kamil Dindorf, Ryszard Woś, Piotr Chlopek, Lukasz Department of Mechatronics and Armaments Faculty of Mechatronics and Mechanical Engineering Kielce University of Technology al. Tysiąclecia Państwa Polskiego 7 Kielce25-314 Poland

ISBN: (纸本)9783031430015

The article contains an analysis of the possibility of precise position control of a bellows actuator. For this purpose, a special research stand was built. It allows an accurate determination of the static and dynamic characteristics of air springs under variable loads generated by a pneumatic cylinder. The bellows is placed on a prototype base, enabling, apart from precise height measurement, determination of changes in the volume of the bellows immersed in liquid. Based on the experimental data, a formula for the effective area of the bellows was derived, depending on its height and the applied load. Subsequently, a mathematical model of the stand was made which was used to carry out further simulation tests in the MATLAB /SIMULINK environment. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Pneumatics

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