Space launch failure is an uncommon but extremely important real-world problem. This paper proposes a Hierarchical Timed Colored Petri nets (HTCPN) simulation and validation method for the emergency response plan in r...
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The development of industrial automation has led to a transformation in manufacturing, with the advent of advanced production and measurement technologies driven by digitalisation, information, and communication appli...
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ISBN:
(纸本)9798350360875;9798350360868
The development of industrial automation has led to a transformation in manufacturing, with the advent of advanced production and measurement technologies driven by digitalisation, information, and communication applications. The integration of artificial intelligence (AI) and machine learning (ML) into industrial applications represents a pivotal shift in the evolution of advancedcontrol systems. This article examines the development and implementation of an AI-driven control system into an automated process, with a particular focus on optimizing raw material recovery through the classification of recycling items. The system developed is a prime example of the interlocking of mechanics, electronics and AI, paving the way for a new era in recycling technology. In addition, this work contributes to research in the field of industry automation and underlines the transformative power of AI in promoting a sustainable circular economy.
Over the last decades, an increasing interest has been considered in improving vehicle performances by using advancedcontrol systems. Nevertheless, the implementation of these systems can be a source of faults. To en...
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ISBN:
(纸本)9798331518509;9798331518493
Over the last decades, an increasing interest has been considered in improving vehicle performances by using advancedcontrol systems. Nevertheless, the implementation of these systems can be a source of faults. To ensure vehicle stability without performance degradation, problems of both estimation and tracking control design are studied for vehicle dynamics in presence of faults and parametric uncertainties. The first part of this paper focuses on sideslip angle, yaw rate and fault estimations via a Proportional Integral observer (PIO). Then, a PIO based tracking control design method, explained via a block diagram, is proposed not only to maintain vehicle stability but also to track the desired trajectories despite the fault effects. The observer and controller gains are computed by solving convex optimization problems under Linear Matrix Inequality (LMI) constraints. Finally, simulation results are presented to prove the effectiveness of the proposed process.
Optimized and decentralized processcontrol is crucial for energy systems incorporating renewable energy, as it enhances flexibility and reliability by dynamically managing variable energy inputs like solar and wind. ...
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The safety analysis of the shunting operation of the subway depot was carried out from the factors such as unsafe behavior of people, unsafe state of equipment, management defects and environmental interference. At th...
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In order to control the pre-tightening force accurately, the assembly pre-tightening process of a flexible auxiliary support structure was studied. At first, the deformation compatibility relationship in the assembly ...
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Recently, the pharmaceutical manufacturing is going through a transition from classic batch manufacturing to continuous manufacturing, that is a faster as well as a more effective approach. The presented work establis...
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In view of the multiple challenges faced by large-caliber complex products in the manufacturing process, especially the complex types of test objects, large space span and diversified test environment, this study impl...
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This article presents the development and evaluation of an automated system for box classification based on the detection of some ISO 780:2015 symbols, using a UR5 robotic manipulator and advanced machine vision techn...
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ISBN:
(纸本)9798331517519;9798331517526
This article presents the development and evaluation of an automated system for box classification based on the detection of some ISO 780:2015 symbols, using a UR5 robotic manipulator and advanced machine vision techniques. The methodology integrates sensors, vision algorithms, and robotics to achieve precise classification. The UR5 manipulator, with six degrees of freedom, was kinematically modeled using DenavitHartenberg parameters, allowing for the calculation of the endeffector's position and orientation. The system employs the Speeded-Up Robust Features (SURF) algorithm for the detection and classification of symbols on the boxes. Simulation results in CoppeliaSim, processed in MATLAB, reveal an average detection time of 55 milliseconds and a recognition rate exceeding 95%, even under varying lighting and orientation conditions. The system demonstrates high precision and flexibility in handling boxes of different sizes and arrangements, validating its efficiency in automated virtual industrial environments.
To adapt to the new changes of the unattended control computer, as well as the requirements for remote monitoring, this article proposes improvements of the ground measurement and control software based on the automat...
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