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International conference on advanced Engineering Theory and Applications, AETA 2022

作者： Nguyen, Khang Hoang Vinh Bien Minh, Tri Le, Chi Van Do, Xuan Phu Mechatronics and Sensor Systems Technology Vietnamese-German University Binh Duong Province Ben Cat Town Viet Nam Electrical and Computer Engineering Vietnamese-German University Binh Duong Province Ben Cat Town Viet Nam

ISBN: (纸本)9789819987023

This study uses a Vicon system, a high-speed accurate marker-based motion capture system aiming to develop a wireless low-latency gesture control method that requires no hardware development and no on-board power source. A novel control is designed to track a rigid-body object’s motion in the workspace and translate it to robot control signals. The system has five main components: a host PC with a Vicon software named Tracker, a set of eight Vicon Vantage V8 infrared cameras, a client PC that receives Tracker’s broadcasted data over the Ethernet, a robot model named youBot provided by KUKA, and a rigid-body object that will act as the gesture controller. Using an Application Programming interface (API) called DataStream, it is successfully obtained the pose (position and orientation) of the rigid-body object and processed it to remotely control the KUKA youBot robot with high accuracy and no recognizable latency. Although it is similar to a combination of accelerometer-based and gyroscope-based controllers, the gesture controller requires no specific hardware besides a set of retro-reflective markers for tracking purposes. The proposed control method proves beneficial during the robotics prototyping phase, where different control mechanisms can be replicated and tested within the motion capture system’s range before deciding the best one for the target application. Furthermore, the robot’s odometry can also be tracked during testing, making a motion capture system a valuable tool for the evaluation of motion control. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： controllers

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GreenSight: IoT-Based Greenhouse Monitoring system 14

GreenSight: IoT-Based Greenhouse Monitoring System

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14th Symposium on Computer Applications & Industrial Electronics (ISCAIE)

作者： Fabian, Charles Bryan R. Sumalinog, Jerson S. Vicente, Paul John S. Romasanta, Joan Katherine N. NU Dasmarinas Natl Univ Philippines Manila Philippines

ISBN: (纸本)9798350348798;9798350348804

Greenhouse agriculture has emerged as a critical component in addressing global food security challenges, experiencing rapid growth and technological integration in recent years. This paper presents GreenSight, an IoT-based automated greenhouse monitoring system designed to optimize plant growth conditions while enhancing operational efficiency. Leveraging advanced technologies such as the NodeMCU ESP8266 microcontroller and DHT22 sensor, GreenSight facilitates real-time environmental monitoring and control within the greenhouse environment. The system incorporates actuators including SG90 servo motors, 9V DC motors, and mist atomizers to regulate atmospheric conditions tailored to diverse plant species' requirements. Additionally, a user-friendly Android application enables remote access and configuration. Ten (10) experts specializing in information technology and computer engineering assessed the prototype using ISO 9126 evaluation criteria. The Likert Scale was employed for interpretation. According to the evaluation, the project attained an overall mean of 3.32, indicating that it satisfies requirements concerning functionality, reliability, efficiency, usability, maintainability, and portability.

关键词： Greenhouse agriculture IoT automated monitoring system NodeMCU ESP8266 DHT22 sensor environmental control smart farming Android application sustainable agriculture

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Cloud-connected central unit for traffic control: interfacing sensing units and centralized control for efficient traffic management

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International Journal of Information Technology (Singapore) 2024年第2期16卷 841-851页

作者： Goyal, Rahul Elawadhi, Ojas Sharma, Akshat Bhutani, Monica Jain, Arohi Electronics and Communication Engineering Department Bharati Vidyapeeth’s College of Engineering New Delhi India

Efficient traffic management is crucial for ensuring smooth transportation systems and minimizing congestion on roadways. This research paper proposes a novel approach to traffic control by developing a cloud-connected central unit that interfaces with sensing units to effectively manage traffic light timings based on real-time density information. The central unit, built using modern technology, integrates ultrasonic sensor-equipped sensing units distributed along the road segment. These sensing units continuously measure the density of vehicles and transmit the data to the central unit through a local area network (LAN), optimizing data transmission efficiency. The central unit leverages intelligent algorithms to analyze the traffic density patterns and dynamically adjusts the timing of traffic lights to optimize traffic flow. Additionally, the central unit provides a web-based interface accessible to authorized administrators and traffic police, enabling them to monitor and control the system effectively. The implementation of this system demonstrates the potential of utilizing cloud connectivity and advanced algorithms for traffic management, reducing congestion, and enhancing transportation efficiency. Experimental validation is required to evaluate the system's performance, but the conceptual design and prototype highlight promising prospects for improving traffic control while minimizing delays and optimizing overall traffic management. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s);author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

关键词： Accuracy BMP280 Central unit Communication protocol Distance measurement HCSR-04 Sensing units Temperature calibration Traffic management system Ultrasonic sensor

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Integrating sensor Fusion for Teleoperation control of Anthropomorphic Dual-Arm Robots∗ 5

Integrating Sensor Fusion for Teleoperation Control of Anthr...

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5th World Robot conference Symposium on advanced Robotics and Automation, WRC SARA 2023

作者： Wang, Feilong Chen, Furong Yang, Xiaolong Yong, Qi Dong, Yanling Zhang, Xinming Zheng, Long Su, Hang Changchun University of Science and Technology College of Mechanical and Electrical Engineering Changchun130022 China Esiee Paris Noisy-le-Grand93160 France Shandong University School of Foreign Languages Jinan250100 China Jilin University Weihai Institute for Bionics Weihai264402 China Guangdong Univerisity of Technology School of Automation Guangzhou China

ISBN: (纸本)9798350307320

In order to achieve accurate control of anthropo-morphic two-arm robots, a novel teleoperation control system is proposed. The system uses sensor fusion technology to analyze and process the position and attitude information of the human arm, so as to realize the real-time control of the humanoid two-arm robot and its bionic hand. The system ensures stable and reliable remote operation, enabling users to control the robot freely. In order to verify the effectiveness of the system in different users, we invited several operators to participate in the experiment. The experimental results show that the system not only enhances the human-robot interaction experience, but also is effective for different users. © 2023 IEEE.

关键词： Remote control

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A Design of Data Interaction interface Based on DDS for UAV-Borne SAR Distributed Simulation 25

A Design of Data Interaction Interface Based on DDS for UAV-...

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25th International conference on advanced Communication Technology (ICACT) - New Cyber Security Risks for Enterprise Amidst COVID-19 Pandemic

作者： Tang, Feixi Yang, Haowei Li, Huibo Feng, Zhixuan Gong, Peng Beijing Inst Technol Sch Mechatron Engn Natl Key Lab Mechatron Engn & Control Beijing Peoples R China

ISBN: (纸本)9791188428106

UAV-borne synthetic aperture radar (SAR) has played an important role in the field of military reconnaissance, due to its advantages such as strong survivability, high resolution and high flexibility. Distributed interactive simulation technology to evaluate the combat effectiveness of the UAV-borne SAR has become a hot research issue. In this paper, a distributed data interaction interface, namely SARDDS, based on data distribution service (DDS) has been proposed to satisfy the requirements of high real time and high throughput of data interaction in the distributed simulation architecture of UAV-borne SAR. The data interaction interface follows the development specification of QualNet simulator and adopts publish-subscribe communication mode to realize the data interaction between various modules of the distributed simulation system. Experimental results verify the high real time and high throughput of the designed interface, which is of great significance to the distributed simulation for the UAV-borne SAR combat effectiveness evaluation.

关键词： UAV-borne SAR distributed simulation QualNet DDS data interaction interface

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Decision Based control Approach for BLDC Motor Drive in Pedal Assisted Electric Bicycle

Decision Based Control Approach for BLDC Motor Drive in Peda...

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2023 IEEE International conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023

作者： Farakate, Ranjit Ugale, Rajaram. T. Wekhande, Shashank Coep Technological University Department of Electrical Engineering Pune India Allegro MicroSystems Marketing India Pvt Ltd. Applications Marketing Group Pune India

ISBN: (纸本)9798350310573

The electric bicycle is powered by a battery to provide "assist". The assist control is provided by a pedal assist sensor or a throttle sensor. This article presents a simple decision-based control approach for the brushless DC (BLDC) motor of pedal assisted electric bicycle. The duty cycle of the motor is controlled via user input through throttle sensor, feedback information of the pedal via the pedal assist sensor (PAS), and speed feedback using speed sensor. A sensorless field-oriented control (FOC) algorithm is used for the control of BLDC motor to realize an efficient system. The overall system is designed, and hardware implementation is carried out. The steady-state performance, dynamic performance and the thermal performance of the overall system is validated on the developed hardware prototype. © 2023 IEEE.

关键词： Brushless DC Motor (BLDC) Electric Bicycle Field-Oriented control (FOC) Pedal Assist sensor Throttle sensor

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control Strategy for Small DC-Link Capacitor Brushless DC Motor Drives Using a Single DC-Link Current sensor 27

Control Strategy for Small DC-Link Capacitor Brushless DC Mo...

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27th International conference on Electrical Machines and systems, ICEMS 2024

作者： Gao, Hang Li, Xinmin Gu, Xin Chen, Wei Xia, Changliang School of Control Science and Engineering Tiangong University Tianjin China School of Electrical Engineering Tiangong University Tianjin China Zhejiang University Advanced Electrical Equipment Innovation Center Hangzhou China

ISBN: (纸本)9784886864406

While employing a single current sensor in a brushless dc motor (BLDCM) drive system can significantly reduce costs, it can also introduce the measurement dead-zone problem. To address this problem, this paper analyzes the relationship between DC-link current and phase current under various voltage vectors in Zone II. This paper employs a single DC-link current sensor (SDCS) to sample the DC-link current and reconstruct the phase currents, with the sampling method being free of measurement dead-zone across the entire speed range. For a BLDCM system, whose DC-link consists of a small capacitor and an insulated gate bipolar transistor (IGBT), this paper proposes a SDCS control strategy. The phase current and the actual speed of the motor are used to determine zone division, ensuring the BLDCM system with small capacitance operates reliably. Experimental results demonstrate the effectiveness of the proposed approach. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Insulated gate bipolar transistors (IGBT)

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advanced Home-Based Diabetes Monitoring system: Initial Real-World Experiences 17th

Advanced Home-Based Diabetes Monitoring System: Initial Real...

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17th International Work-conference on Artificial Neural Networks (IWANN)

作者： Diaz Jimenez, David Lopez Ruiz, Jose Luis Montoro Lendinez, Alicia Gonzalez Lama, Jesus Espinilla Estevez, Macarena Univ Jaen Dept Comp Sci Jaen Spain Cordoba Hlth Management Area Cabra Clin Management Unit Cordoba Spain Univ Cordoba Reina Sofia Univ Hosp Maimonides Biomed Res Inst Cordoba IMIBIC Cordoba Spain

ISBN: (纸本)9783031430848;9783031430855

Diabetes is a disease that requires monitoring of healthy habits for its treatment. A recent study suggests that sensor-based activity recognition approaches are a suitable tool for monitoring such habits that are established between clinical personnel and the patient through a therapeutic contract. To date, there is no fully described system architecture for implementing a sensor-based activity recognition approach to monitor healthy habits. In this paper, we present the advanced architecture of a system for monitoring healthy habits of multiple diabetes patients in their homes. The presented system, called AI2EPD, features a complex architecture that encompasses from the sensor devices deployed in each patient's home to persistence in the central server and visualisation in the technical and clinical interface. The system has been deployed in the municipality of Cabra in Cordoba (Spain) in collaboration with the Cabra Health Centre. The approach for sensor installation in the patient's home, as well as the issues and challenges encountered during system deployment, are presented in this section.

关键词： sensor-based activity recognition monitor healthy habits diabetes patients complex architectures with sensors

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Research on the Design of Intelligent Trace Monitoring Vehicle Using Image sensor 7

Research on the Design of Intelligent Trace Monitoring Vehic...

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7th IEEE advanced Information Technology, Electronic and Automation control conference, IAEAC 2024

作者： Liu, Caijun Min, Hong Yue, Xikai Zaozhuang University College of Mechanical and Electrical Engineering Zaozhuang China Sinotruk Jinan Special Vehicle Co. Ltd Jinan China

ISBN: (纸本)9798350339161

Aiming at the existing track model car easy to lose the line, easy to go off the track out of the problem, this paper carries out the intelligent track monitoring car model of the software program part of the design as well as intelligent track monitoring car parts of the overall design debugging and analysis and other aspects of the research. The design adopts MK60 as the core microprocessor, uses CMOS image sensor OV7725 digital camera to collect road conditions, and processes the road surface information to get the road surface guidance information. Through the guidance information of the road surface to guide the stable driving of the tracking monitoring vehicle, the control system real-time closed-loop control of the corner and speed of the tracking monitoring vehicle, and based on the road surface information and the measured corner and speed information for PID control. The experiments show that the tracking vehicle can be driven stably under the given experimental route, and has better speed and control accuracy. © 2024 IEEE.

关键词： Image processing

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A Fault-tolerant control Method for USV Trajectory-tracking with sensor Faults

A Fault-tolerant Control Method for USV Trajectory-tracking ...

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2023 IEEE International conference on Real-Time Computing and Robotics, RCAR 2023

作者： Guo, Weilun Li, Weimin Wu, Xinyu Wang, Haibin Mu, Xinxing Wang, Qiang Xu, Yi Shandong Zhongke Advanced Technology Co. Ltd Jinan250098 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen518055 China

ISBN: (纸本)9798350327182

This paper studies the trajectory tracking problem of the unmanned surface vehicle with sensor deviation faults. Firstly, the trajectory tracking controller based on model predictive control is designed according to the physical characteristics of the unmanned vehicle system. Moreover, an event trigger mechanism is explored in the controller to reduce the waste of computing resources. Then, a H∞ fault estimator is designed to accurately estimate the value of sensor deviation faults. Finally, the influence of sensor faults on the designed controller is analyzed. At the same time, the faults information was used for improving the tracking performance. The proposed trajectory tracking method with the fault-tolerant algorithm is verified by simulation examples. © 2023 IEEE.

关键词： controllers

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