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检索条件"任意字段=3rd International Symposium on Control Engineering and Robotics, ISCER 2024"

共 615 条记录，以下是221-230 订阅

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Top-Level Modeling and Simulation of Civil Aircraft Fly-by-Wire Flight control System for Airworthiness Compliance Verification in Virtual Flight Testing 3

Top-Level Modeling and Simulation of Civil Aircraft Fly-by-W...

引用

3rd international symposium on Aerospace engineering and Systems, ISAES 2024

作者： Guo, Banjun Cao, Yunfeng Ding, Meng Wang, Xichao College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing China College of Electrical Engineering Shanghai Dianji University Shanghai China

ISBN: (纸本)9798350350418

With the advancement of computer technology, Virtual Flight Testing (VFT) methods have gradually integrated into the early validation activities of the civil aircraft product Iifecycle, becoming a mainstream approach in product development. Addressing issues such as inconsistent understanding in traditional document-based methods and weak correlation between requirements and validation activities, this paper focuses on the civil aircraft Fly-by-Wire (FBW) Flight control System and proposes a top-level modeling and integrated simulation method for airworthiness validation in virtual flight testing. Firstly, starting from the descriptions in airworthiness regulations, we construct activity models for flight testing verification oriented towards compliance and quantitative constraint models. Secondly, we clarify the static structure, dynamic activities, and parameter constraint relationships within the system, establishing the top-level architecture model of the system. Subsequently, we create low-level simulation models for each unit within the system and achieve the correlation between the top-level and low-level models, thereby constructing a virtual integrated simulation environment based on SysML & Simulink. Finally, with the support of the virtual integrated simulation environment, we achieve real-time virtual simulation based on flight testing verification activities and automatic validation of airworthiness compliance. Experimental results demonstrate the system's compliance with the example airworthiness regulations, validating the feasibility of the proposed method. © 2024 IEEE.

关键词： Flight testing

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IOT Based Virtual Telepresence Robot 3

IOT Based Virtual Telepresence Robot

引用

3rd IEEE international Conference on Intelligent Techniques in control, Optimization and Signal Processing, INCOS 2024

作者： Pon Pushpa, S. Ewins Jayasree, T. Mariammal, K. Selwyn, Chris Jonathan Solomon, S. Benny Raj, S. Harish College of Engineering Anna University Department of Ece Guindy Chennai India Madras Institute of Technology Anna University Department of Electronics Engg. Chrompet Chennai India

ISBN: (纸本)9798350361186

This paper, marks an innovative exploration of robotics, IoT, and telepresence technologies, aiming to create a versatile and user-friendly robot, for remote control and real-time presence in distant locations. The key components and functionalities of this work, include the ESP32 micro controller, which serves as the central brain, interfacing with an analog joystick for user control. The Raspberry Pi camera, integrated through Message Queuing Telemetry Protocol, enhances capabilities, with high-quality real-time video, streaming to provide an immersive experience. The L298N motor driver facilitates precise control over the robot's mobility, allowing it to navigate in any direction. ESP32's role in interfacing with the analog joystick, for movement control is emphasized. As a conclusion, the integration of hardware and software components, in the development of the IoT based Virtual telepresence robot, represents a significant leap forward in the realm of remote robotics. © 2024 IEEE.

关键词： Internet of things

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Real-time Image Processing for Production Tracking in Manufacturing Plant 3

Real-time Image Processing for Production Tracking in Manufa...

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3rd international symposium on Instrumentation, control, Artificial Intelligence, and robotics, ICA-SYMP 2023

作者： Vexo, Wetu Jeenanunta, Chawalit Chou, Koksal Tunpan, Apinun Sirimarnkit, Nisit Vong, Tith Thourn, Kosorl School of Management Technology Sirindhorn Internation Institute of Technology Thammasat University Pathum Thani Thailand Institute of Technology of Cambodia Department of Electrical and Energy Engineering Phnom Penh Cambodia Smart Sense Industrial Design Co. Ltd Bangkok Thailand Institute of Technology of Cambodia Department of Telecommunication and Network Engineering Phnom Penh Cambodia

ISBN: (纸本)9781665473538

Tracking the number of work-in-process (WIP) and finished goods is a big challenge in factories. Additional workers are required to perform this task. It is a tedious and error-prone task for the workers. The production planners need to add additional finished goods to their production schedules to account for unknown mismatched production, which wastes a lot of money, workforce, and time in manufacturing. In recent years, there has been an advancement in computer vision, such as object recognition and detection. This research proposes a method using image processing to count the WIP in safety shoe manufacturing. This technique combines Yolov4-tiny as a detection engine and Deepsort algorithms along with OpenCV to track, count, and classify products for a real process in a factory. Special regions are assigned in the video frame to count the shoes and bad-quality shoes. The experiment is demonstrated on 5 videos streaming from the CCTV inside the factory. The results have shown that besides the blurry streaming, the proposed algorithm can track and classify both categories of shoes effectively. © 2023 IEEE.

关键词： Object recognition

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Decoupled Sliding-Mode control for Active Magnetic Bearings Using Particle Swarm Parameter Optimisation 1

引用

3rd international symposium on Industrial engineering and Automation

作者： Vennemann, Jonah Koenig, Niklas Nienhaus, Matthias Saarland Univ Lab Actuat Technol D-66123 Saarbrucken Germany

ISBN: (数字)9783031704659

ISBN: (纸本)9783031704642;9783031704659

The design of a multi-input and multi-output controller for a coupled system like an active magnetic bearing is challenging. By decoupling the systems states, simpler single input and single output controllers can be used. However, the active magnetic bearing system still exhibits strong nonlinearities in the electromagnetic system the controller must handle. Thus, a second-order sliding mode controller is utilised to control the rigid rotor of the active magnetic bearing. The aim is to improve the stability and robustness of these systems by addressing common problems such as disturbances and to find a trade-off between controller complexity and performance. Particle swarm optimisation is used to tune the control parameters of all presented controllers. The effectiveness of the proposed controller is validated in simulation.

关键词： Active Magnetic Bearings Sliding Mode control Particle Swarm Optimisation

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The Simulation Study of Miro-Inductor Based Planar Spiral MEMS Coil Arrays 3

The Simulation Study of Miro-Inductor Based Planar Spiral ME...

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3rd international symposium on Sensor Technology and control, ISSTC 2024

作者： Pi, Xingyu Zhao, Lingzhe Sun, Xuecheng Zhang, Jianchun Qiu, Xiang Li, Shenhao Shanghai University Microelectronic R&D Center Shanghai University School of Mechatronic Engineering and Automation Shanghai China

ISBN: (纸本)9798331541637

The miniaturization of portable electronic devices has driven the demand for smaller electronic components. Traditional inductors limited by conventional manufacturing processes was hard to achieve both small size and high inductance. and are limited by conventional manufacturing processes. Recently, with MEMS technology developing, it is possible to fabricate of high-performance micro-inductor. This paper was aim to design a high-performance micro-inductor based on a planar spiral MEMS coil array. The structure was analyzed and optimized by simulation. The simulation results show that with optimized parameters, the designed micro-inductor significantly improves in inductance value and maximum current-carrying capacity, meeting the application needs of electronic products. © 2024 IEEE.

关键词： Miniature instruments

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Investigating Neural Network Hyperparameter Variations in Robotic Arm Inverse Kinematics for Different Arm Lengths 3

Investigating Neural Network Hyperparameter Variations in Ro...

引用

3rd international Conference on Power, control and Computing Technologies, ICPC2T 2024

作者： Bouzid, Rania Narayan, Jyotindra Gritli, Hassene Borj Cedria Tunis1164 Tunisia Indian Institute of Technology Guwahati Mechatronics and Robotics Laboratory Department of Mechanical Engineering Assam Guwahati781039 India Tunis1002 Tunisia

ISBN: (纸本)9798350349207

This research delves into the evaluation of Artificial Neural Networks (ANNs) in tackling the intricate domain of inverse kinematics problems within the context of robotic systems. Compared to direct kinematics, inverse kinematics presents significant challenges, especially when dealing with different arm lengths, which can impact the system's overall functionality. In this study, we conduct a comprehensive comparative analysis to assess the performance of ANNs across various robotic arm lengths. Following the forward kinematics of a simple 2-DoF robotic manipulator, three distinct datasets (fixed step size, random step size, and sinusoidal step size) are generated for training, testing, and validation phases. For every dataset, three optimizers, namely Levenberg Marquardt, Bayesian Regularization, and Scaled Conjugate Gradient, are considered with different hyperparameters to investigate the performance of the ANN models. Based on the validation of MSE values, ANN models with different hyperparameters are found to be a promising approach in estimating the inverse kinematic solutions for different arm lengths with data complexities. Such solutions can be further extended to higher DoF robotic solutions and save the computational burden of evaluating analytical solutions. © 2024 IEEE.

关键词： Inverse kinematics

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K-means++ Algorithm Based on Spark Platform in Large-scale Tourism Data Mining in Cloud Computing Environment 3

K-means++ Algorithm Based on Spark Platform in Large-scale T...

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3rd international Conference on robotics, Artificial Intelligence and Intelligent control, RAIIC 2024

作者： Nan, Xiang Parthasarathy, Rajamohan Wang, Chu NanTong Normal College School of Information Technology Jiangsu Nantong226000 China SeGi University Faculty of Engineering Built Environment and Information Technology Kota Damansara Malaysia Xidian University School of Microelectronics Shaanxi Xi'an710000 China

ISBN: (纸本)9798350352627

With the acceleration of global economic integration and the rapid growth of tourism data, the processing and analysis of tourism data are facing severe challenges. In order to manage and analyze massive data effectively, it must use effective data mining technology. In order to solve this problem, this project plans to build a set of K-means++ algorithm for big data based on cloud computing and Apache Spark platform, aiming at improving the efficiency of big data clustering analysis. Spark is chosen as the development platform because it has strong storage capacity and scalability, and can effectively handle massive data. On this basis, a clustering method based on Kmeans is proposed, and the initial value is optimized, thus shortening the convergence speed and improving the stability and accuracy of clustering results. The implementation method includes first preprocessing large-scale tourism data, such as data cleaning and feature selection, then applying an improved K-means++ algorithm for data clustering, and finally analyzing the clustering results to identify potential trends and consumer behavior patterns in the tourism market. As the maximum number of iterations increases, the average intra cluster distance gradually decreases from 10.5 to 9.8, indicating that the clustering effect is gradually improving, that is, data points are more tightly concentrated within their respective clusters. This study provides an effective big data analysis tool for the tourism industry, helping it better understand customer needs, optimize service supply, and promote the development of personalized tourism products. © 2024 IEEE.

关键词： Cloud platforms

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Interpretable ML Model for Quality control of Locks Using Counterfactual Explanations 3

Interpretable ML Model for Quality Control of Locks Using Co...

引用

3rd international Conference on Innovations and Development of Information Technologies and robotics, IDITR 2024

作者： Andersson, Tim Bohlin, Markus Ahlskog, Mats Olsson, Tomas School of Innovation Design and Engineering Mälardalen University Västerås Sweden

ISBN: (纸本)9798350385694

This paper presents an interpretable machine-learning model for anomaly detection in door locks using torque data. The model aims to replace the human tactile sense in the quality control process, reducing repetitive tasks and improving reliability. The model achieved an accuracy of 96%, however, to gain social acceptance and operators' trust, interpretability of the model is crucial. The purpose of this study was to evaluate an approach that can improve interpretability of anomalous classifications obtained from an anomaly detection model. We evaluate four instance-based counterfactual explanators, three of which, employ optimization techniques and one uses, a less complex, weighted nearest neighbor approach, which serve as our baseline. The former approaches, leverage a latent representation of the data, using a weighted principal component analysis, improving plausibility of the counter factual explanations and reduces computational cost. The explanations are presented together with the 5-50-95th percentile range of the training data, acting as a frame of reference to improve interpretability. All approaches successfully presented valid and plausible counterfactual explanations. However, instance-based approaches employing optimization techniques yielded explanations with greater similarity to the observations and was therefore concluded to be preferable despite the higher execution times (4-16s) compared to the baseline approach (0.1s). The findings of this study hold significant value for the lock industry and can potentially be extended to other industrial settings using timeseries data, serving as a valuable point of departure for further research. © 2024 IEEE.

关键词： Principal component analysis

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Optimizing controller Tuning using Bio-Inspired Algorithms for Robot Path Tracking 3

Optimizing Controller Tuning using Bio-Inspired Algorithms f...

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3rd international Conference on Sentiment Analysis and Deep Learning, ICSADL 2024

作者： Rani, Taneti Lilly Deepa, S. Joon, Rakesh Kumar Jayaseelan, P. Soudagar, Manzoore Elahi M. Dhanraj, Joshuva Arockia Jawaharlal Nehru Technological University College of Engineering Kakinada University College of Engineering in JNTU Department of Civil Engineering Andhra Pradesh Kakinada533003 India RMD Engineering College Department of Computer Science and Business Systems Tamil Nadu Kavarapettai601206 India Ganga Institute of Technology and Management Department of Electronics and Communication Engineering Haryana Kablana124104 India Achariya College of Engineering Technology Department of Mechanical Engineering Puducherry605110 India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of VLSI Microelectronics Tamil Nadu Chennai602105 India Chandigarh University Punjab Mohali140413 India

ISBN: (纸本)9798350396157

In the field of industrial and commercial robotics, there has been a recent boom in research towards the navigation of wheel-based mobile robots. There are numerous aspects of this complex problem that need fixing, including issues with sensory data gathering and processing, trajectory planning, and controlling motion. In the field of motion control, creating reliable trajectory controllers is the highest priority. This study improves the Proportional-Integral-Derivative (PID) controller using Ant Colony Optimization (ACO) and Cat Swarm Optimization (CSO) to get the best possible trajectory tracking. The kinematics of a two-wheeled mobile robot serve as the foundation for its mathematical model. The user-specified reference trajectory is given to the robot. The conventional PID, ACO-PID, and CSO-PID controller's trajectory tracking capacity are evaluated using the metrics. The performance metrics such as the Integral of Squared Error (ISE), Integral of Absolute Error (IAE), and Integral of Time-weighted Absolute Error (ITAE) are taken. According to the simulation results, the CSO-PID controller beats the conventional PID and ACO-PID controllers in terms of error metrics. This discovery highlights the effectiveness of using CSO-PID to improve the trajectory-Tracking performance of mobile robots. © 2024 IEEE.

关键词： Three term control systems

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Platform for visual simulation of UAVs based on 3D holographic display technology 3

Platform for visual simulation of UAVs based on 3D holograph...

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3rd international symposium on Computer Applications and Information Systems, ISCAIS 2024

作者： Wang, Ya Hu, Tian Jiangsu Automation Research Institute Lianyungang222006 China

ISBN: (纸本)9781510681316

This paper presents a UAV visual simulation platform based on 3D holographic display technology, designed for UAV simulation training and real-time dynamic simulation of large scenes. The platform involves key modules such as UNIGINE real-time 3D engine, UAV flight simulation, optoelectronic video simulation, SAR image simulation, multispectral image simulation and computational holographic 3D display. The simulation platform has realized the 3D holographic display of UAV flight trajectory, providing immersive simulation training for operators to control the UAV to perform takeoff, flight, reconnaissance and landing tasks. The application requirements of the UAV system have been satisfied, and it has important practical value. © 2024 SPIE.

关键词： Unmanned aerial vehicles (UAV)

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