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检索条件"机构=Centre for Automation and Robotics Department of Mechatronics Engineering"

共 570 条记录，以下是21-30 订阅

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Control Characteristics of Zero-Current-Switching Quasi-Resonant Boost Converter under Variation of Resonant Circuit and Load Parameters 4

Control Characteristics of Zero-Current-Switching Quasi-Reso...

引用

4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Dymerets, Andrii V. Yershov, Roman D. Gorodny, Alexey N. Stepenko, Serhii A. Revko, Anatoliy S. Department of Electronics Automation Robotics and Mechatronics National University "Chernihiv Polytechnic" Chernihiv Ukraine Department of Electrical Engineering Information and Measurement Technologies National University "Chernihiv Polytechnic" Chernihiv Ukraine

ISBN: (纸本)9798350395532

The investigation of resonant circuit parameters influence on the control characteristics behavior in a boost half-wave zero-current switching quasi-resonant converter is presented. The dependences of the control pulses duration and operating frequency as well as electric characteristics under variation of resonant circuit time constant and control pulses duty cycle are established by the numeric simulation and are represented as 3D-surfaces. The dependences of these characteristics under variation of load impedance and control pulses duty cycle are also obtained. The obtained results can be used in the process of developing and constructing a table-based, robust multi-loop or nonlinearity compensated control systems for quasi-resonant converters. © 2023 IEEE.

关键词： Zero current switching

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A Sensorless Speed Control of High-Speed BLDC Motor Using Variable Slope SMO

A Sensorless Speed Control of High-Speed BLDC Motor Using Va...

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作者： Ok, Sangjae Xu, Zhenyao Lee, Dong-Hee Department of Mechatronics Engineering Kyungsung University Busan48434 Korea Republic of State Key Laboratory of Robotics Shenyang Institute of Automation The Chinese Academy of Sciences Shenyang110016 China

Low-power and high-speed BLDC(Brushless DC) motor is widely used in vacuum cleaners. This paper presents a sensorless speed control scheme for a high-speed BLDC motor of a hand-stick vacuum cleaner using a variable slope sliding mode observer(SMO). The SMO using the signum function is very effective for the sensorless estimation of the BLDC motor. However, the chattering effect on the slide surface from the signum function decreases the sensorless performance in the wide speed range. The sigmoid function instead of the signum function can reduce the chattering effect. However, the convergence is inversely proportional to the reduced chattering effect. In order to reduce the chattering effect and keep the proper convergence performance, the proposed method uses a variable acceleration slope of the sigmoid function. In the low-speed range, the acceleration slope of SMO is decreased to reduce the chattering. And, it is increased to improve the convergence in the high-speed region. The acceleration slope of the sigmoid function is designed as a function of the estimated speed to keep the constant convergence with reduced chattering in the sensorless speed and position estimation. In order to verify the proposed sensorless control scheme, 115 krpm speed 540W BLDC motor for a vacuum cleaner is tested with various SMO methods. In the experimental results, the proposed method shows better sensorless speed control performance in the wide speed range. © 2023 IEEE.

关键词： Sensorless control

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Identifying Factors that Influence Student's Participation in an Online Discussion Forum 2

Identifying Factors that Influence Student's Participation i...

引用

2nd Edition of IEEE Delhi Section Owned Conference, DELCON 2023

作者： Shaikh, Mohammed Tayyab Koppikar, Unnati Vijayalakshmi, M. Kle Technological University Department of Automation and Robotics Hubballi India Kle Technological University Centre for Engineering Education Research Hubli India

ISBN: (纸本)9798350322064

Discussion forums are used frequently in online learning. They are effective tools to encourage critical thinking and analytical reasoning and motivate students to participate in discussions. By actively participating in discussion forums by reading their peer's posts and comments, students can increase their understanding by clarifying vague concepts. Due to the COVID-19 epidemic, educational institutions transitioned to an online teaching method, which was not widely used earlier. The dynamism of the lively discussions that would take place in the offline classes was lost during this time. As a result, many instructors use discussion boards to keep their students engaged in a specific topic and encourage them to debate, evaluate, and criticize one another's ideas. The social network analysis (SNA) method examines how students engage in an online asynchronous discussion forum. The research study is based on a course called "engineering Exploration". During the COVID-19 pandemic's disruptions, this first-year engineering course was taught online. In order to engage in a case study for the engineering Ethics module, students were invited to post their views and thoughts about the case study in the discussion thread and were informed to comment on their peer's posts. The research is based on information gathered from the discussion board. Through this study, the authors want to identify the effect of different parameters such as gender, stream, or grades on students' participation in the discussion forum. The course instructor will gain significant insight from the proposed work on integrating social network analysis on discussion boards. This research study will aid in understanding the network structures of learners' interactions. © 2023 IEEE.

关键词： Students

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Machine Vision based automated 3-DOF Articulated Robot for fruit defect Identification and Segregation 14

Machine Vision based automated 3-DOF Articulated Robot for f...

引用

14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Ramkumar, S. Venusamy, Kanagaraj Eswaran, A. Jeevitha, N. Ramyapriya, G. Kannadhasan, S. Rajalakshmi Engineering College Department of Robotics and Automation Thandalam Chennai India Rajalakshmi Engineering College Department of Mechatronics Engineering thandalam Chennai India Roever Engineering College Department of Electrical and Electronics Engineering Perambalur India Study World College of Engineering Department of Electronics and Communication Engineering Coimbatore Chennai India

ISBN: (纸本)9798350335095

The automation scenario in the current industrial as well as domestic applications has seen an exponential growth over the decade. Robot plays an important role in industrial automation but in some cases, it needs some extent of human intervention in quality inspection. This paper focuses on solving problems related to defect identification and segregation of fruits using 3-DOF articulated robot configuration with the integration of machine vision system and deep learning algorithms. To perceive the features of object, A USB camera is utilized. The machine vision algorithm will next use a variety of methods for processing digital images to extract the relevant data and decide whether to continue processing the product, redirect it to a different stage of production, or just throw it away. In recent days, the advancement in deep learning leads to the phenomenal growth in computer vision. There are many state-of-the-art object detection algorithms available in deep learning technology and we are using Inception-V3 algorithm that can be used for the machine vision operation in our solution. Based on the results from the algorithm, segregation operation is carried out successfully. © 2023 IEEE.

关键词： Fruits

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Investigations on the Design and Simulation of Smart Irrigation Robot for Nurseries

Investigations on the Design and Simulation of Smart Irrigat...

引用

Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), International Conference on

作者： B. Abhiram Swati Jha Y. Yogendra Sai Prasad Joshuva Arockia Dhanraj V. Ramkumar Department of Mechatronics Engineering Centre for Automation & Robotics Hindustan Institute of Technology and Science Chennai Tamil Nadu India

The irrigation systems in nurseries can be the cause of various water supply errors- ranging from lack of sufficient water supply to over-watering and imbalance in the water pH levels. Based on the statistics recorded by the department of agriculture and farmers welfare, we have conducted we concluded that the water supply management and plant life maintenance are the major problems. Considering all these real-time errors, we have designed a smart irrigation robot functioning on the inputs from a group of soil moisture sensors which helps eliminate the monotonous task of monitoring and keeping records of the change in soil moisture.

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Deep Learning-Based Approach for Frost Quantification in Domestic Refrigerators

Deep Learning-Based Approach for Frost Quantification in Dom...

引用

International Conference on robotics and Artificial Intelligence (ICRAI)

作者： Hassan Akbar Huzzam Hassan Anjum Naeem Malik Tahir Habib Nawaz National Centre of Robotics and Automation Department of Mechatronics Engg. CEME NUST Islamabad Pakistan Department of Mechatronics Engg. CEME NUST Islamabad Pakistan

ISBN: (数字)9798350355703

ISBN: (纸本)9798350355710

Frost formation in refrigerators disrupts heat ex-change, lowering system efficiency and causing operational is-sues, making defrosting essential for maintaining performance. However, modern defrost systems rely on sensors for frost detection. The sensory approach is reliable but it could degrade over time in changing environmental conditions. To address this limitation, the paper proposes a real-time frost quantification method using digital image processing and deep learning. A custom Convolutional Neural Network (CNN) model is designed to classify frost thickness in RGB images captured inside a refrigerator. We have used a custom dataset, collected from a real refrigeration environment and made a comparison with other methods previously used for frost thickness estimation. The dataset is collected from several experiments to ensure its diversity such as illumination and environmental changes. This method enables precise frost detection, targeted for optimal defrost control for improved efficiency. Results indicate that the CNN model achieves a high test accuracy of 98.10%. The model's performance surpasses traditional methods, demonstrating its robustness in distinguishing varying frost levels from 0 to 4 (mm). This method enables precise frost thickness estimation and is a suitable choice for defrost control to improve the energy efficiency of the refrigerator.

关键词： Deep learning Accuracy Thresholding (Imaging) System performance Estimation Lighting Sensor systems Sensors Refrigeration Convolutional neural networks

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Effect of Tine Shaped Furrow Opener on Dry Soil Using Discrete Element Modelling

Effect of Tine Shaped Furrow Opener on Dry Soil Using Discre...

引用

International Conference on robotics and Artificial Intelligence (ICRAI)

作者： Abdul Mohiz Fazal E Nasir Kamran Shah Department of Mechatronics Engineering University of Engineering & Technology Peshawar Pakistan Advanced Robotics & Automation Lab National Center of Robotics & Automation Peshawar Pakistan

Tillage of the soil is the most important consideration when it comes to the implementation of agricultural practices. Increases in crop yield has been achieved through a variety of agricultural practices thanks to the discoveries of various agricultural experts. The planting process is the one that has the greatest impact on the crop's overall health. The hull can be more precisely prepared for the seed-planting trench with the assistance of furrows. A variety of furrow openers are currently undergoing the implantation process. Studying dynamic systems that are discontinuous in nature can be done with the help of discrete element modelling. The simulation of a tine-shaped furrow opener using the EDEM package software was carried out for three different speeds. When the speed of an object increases, so does the force it exerts on it. Additionally, the length of an object has an effect on the force it exerts. Additionally, taken into consideration were the profiles that were generated in the soil. To carry out statistical validation of the results analysis of variation (ANOVA) was done. The results provided a basis for calculating a confidence level of 95%. For the furrow openers, it was suggested that a speed of 0.495 meters per second, which is equivalent to 1.76 kilometers per hour, be used.

关键词： Meters Industries automation Force Crops Soil Software

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Rapid Maintenance based improved design for omnidirectional controlled wheels for VirtuSphere system 29

Rapid Maintenance based improved design for omnidirectional ...

引用

29th IEEE International Symposium for Design and Technology in Electronic Packaging, SIITME 2023

作者： Bazavan, Lidia Cristina Roibu, Horatiu Coman, Daniela Cismaru, Stefan Irinel Petrisor, Anca Bizdoaca, Nicu George University of Craiova Faculty of Automation Computers and Electronics Mechatronics and Robotics Department Craiova Romania University of Craiova Faculty of Mechanics Engineering and Management of the Technological Systems Department Craiova Romania University of Craiova Faculty of Electrical Engineering Electrical Energy and Aerospace Engineering Department Craiova Romania

ISBN: (纸本)9798350344110

Designing for rapid maintenance requires an approach whereby the replacement of rapidly wearing sub-assemblies can be easily replaced while ensuring that the degree of wear can be tracked in real-time if possible. The redesign of the movement system of the Virtusfera platform by the authors previously led to an omnidirectional platform with increased integration facilities in virtual environments. The article presents two solutions for redesigning some subsystems that make up the new experimentally validated solution, presenting at the same time the study based on which the subsystems with the lowest reliability were identified and a proposal for a real-time tracking solution for those subsystems. Numerical simulations of the two solutions are presented, and conclusions and directions are formulated regarding the practical implementation of these subsystems based on the concept of design based on rapid maintenance. © 2023 IEEE.

关键词： Maintenance

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Diagnosis of Localized Bearing Defects using Texture Analysis of Vibration Envelope Signals and Machine Learning

Diagnosis of Localized Bearing Defects using Texture Analysi...

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2023 International Conference on robotics and automation in Industry, ICRAI 2023

作者： Nguyen, Cong Dai Nasir, Fazal E. Khan, Shahbaz Khan, Sheraz Ali Kim, Jong-Myon Le Quy Don Technical University Faculty of Radio-Electronic Engineering Hanoi Viet Nam Advanced Robotics and Automation Lab National Center for Robotics and Automation Peshawar Pakistan Institute of Manufacturing University of Engineering and Applied Sciences Swat Pakistan University of Engineering and Technology Department of Mechatronics Engineering Peshawar Pakistan University of Ulsan Department of IT Convergence Ulsan Korea Republic of PD Technology Ulsan Korea Republic of

ISBN: (纸本)9781665464727

Bearings are important because they play a critical role in the operation of many machines and devices by reducing friction and enabling smooth motion between two moving parts. They are commonly used in rotating machinery, such as electric motors, turbines, pumps, and gearboxes, where they support and guide the rotating shafts. The primary cause of failure in wind turbines and induction motors is bearing faults, resulting in significant downtime and economic losses. Detecting these faults accurately and promptly is crucial to preventing unexpected shutdowns. Most of the existing methods for bearing fault detection rely on envelope analysis, which involves filtering and demodulating the raw signal, and Fourier analysis of the envelope signal to identify defect frequencies. Recent research has focused on improving the visibility of these frequencies by selecting an optimal band for filtering, using sub-band analysis and spectral kurtosis, which is a complex process and can be time-consuming. This paper presents a new approach to envelope signal analysis using texture analysis of the envelope signals that are projected as 2D grayscale images where each fault generates a unique texture. These textures are encoded using the local binary pattern operator and then used for fault classification. The method is tested on a publicly available seeded fault dataset. © 2023 IEEE.

关键词： Signal analysis

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Effect of Pneumatic Based Hybrid Robotic Gripper for Safer Handling of Complex Geometries

Effect of Pneumatic Based Hybrid Robotic Gripper for Safer H...

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International Conference on Advanced Computer Control, ICACC

作者： Santhosh Sivaraj Ajay Ravi Bibin Joe Jose Gobinath Velu Kaliyannan Rajkamal Sivakumar Riya Catherine Amalraj Department of Robotics and Automation Easwari Engineering College Chennai TamilNadu India Department of Mechatronics Engineering Kongu Engineering College Perundurai TamilNadu India

ISBN: (数字)9798350379136

ISBN: (纸本)9798350379143

The present research work mainly concentrates on development of hybrid grippers with the integration of hard and soft components for achieving object manipulation. By combining pneumatic actuation with mechanical fingers, complex geometries can be handled effectively. Pneumatic hybrid gripper fabricated with PLA and silicone rubber offers adaptability and versatility. Resistive sensors over silicone surface of gripper lead to cost-effective force detection and tactile sensing. The proposed gripper was designed and analyzed using Fusion 360 and ANSYS. Inflatable silicone rubber and gripper body were fabricated using liquid casting and Fused Deposited Modelling 3D printing techniques. Real-time feedback sensors were employed with fabricated gripper to get better performance. Testing proves its capability to handle loads up to 500g with a force of 3.3N. Finally, the assembled hybrid gripper offers a versatile solution for robotic manipulation, ensuring stability and minimizing damage across various industries.

关键词： Service robots Force Tactile sensors Pneumatic systems Real-time systems Sensors Rubber Grippers Intelligent sensors Testing

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