检索结果-内蒙古大学图书馆

作者： Wang, Yeqin Wu, Zhen Xia, Aoyun Guo, Chang Chen, Yuyan Yang, Yan Tang, Zhongyi Faculty of Automation Huaiyin Institute of Technology Huaian China School of Mechanical Engineering Southeast University Nanjing China College of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

Aiming at the deficiency of optimal control energy management strategy, a model of energy management controller for hybrid electric vehicle (HEV) is constructed based on Kernel Fuzzy C-means Clustering (KFCM) and multi-neural network. Using energy management control strategy based on PMP, the operational parameters of the four driving modes for HEV is extracted;the data cluster corresponding to the driving mode is generated by clustering through the KFCM method and is used as the training samples for the feedforward neural network. Taking the battery SOC, needed power and speed as the inputs of neural network, and taking engine power as the output of neural network, four sub-neural network models are established. Taking the vehicle driving needed power at the current moment and the engine output power at the previous moment as characteristic parameters, the corresponding sub-neural network model is selected for output prediction according to the proportional relationship between the driving demand torque and the engine output power. The simulation results show that, compared with the energy management strategy based on PMP, the calculation time is greatly shortened using the proposed control strategy, and the real-time performance is better. The fuel economy is a little decreased under the condition of meeting the requirements, but better dynamic performance can be obtained. © 2018 John Wiley & Sons, Ltd.

关键词： Energy management

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Region-reaching control for multiple underactuated Euler–Lagrange systems based on energy-shaping framework

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Communications in Nonlinear Science and Numerical Simulation 2025年

作者： Bin Zheng Jinchen Ji Runlong Peng Zhonghua Miao Jin Zhou School of Information Engineering Fujian Business University Fuzhou 350506 China Shanghai Institute of Applied Mathematics and Mechanics and Shanghai Key Laboratory of Mechanics in Energy Engineering School of Mechanics and Engineering Science Shanghai University Shanghai 200072 China Faculty of Engineering and IT University of Technology Sydney NSW 2007 Australia School of Mechatronic Engineering and Automation Shanghai University Shanghai 200072 China Shanghai Institute of Aircraft Mechanics and Control Tongji University Shanghai 200092 China

This paper presents a first attempt to address the distributed region-reaching control problems of multiple underactuated Euler–Lagrange systems (MUELSs) within an energy-shaping framework. An adaptive gain technique incorporating the region potential function is suitably introduced to design a distributed region-reaching control scheme by the best use of the passivity-based control (PBC) framework with damping injection. Additionally, the underactuated Euler–Lagrange (EL) dynamics are utilized to systematically integrate the energy of the system model and adaptive controller dynamics. Consequently, two independent region-reaching algorithms for MUELSs in the presence or absence of communication delays are analytically derived using appropriate Lyapunov functions. The overall region-reaching tracking cooperative performance, including stability, adaptability, and robustness, is validated through analysis and comparison of simulation examples.

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Weak Scratch Detection of Optical Components Using Attention Fusion Network

Weak Scratch Detection of Optical Components Using Attention...

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IEEE International Conference on automation Science and engineering (CASE)

作者： Xian Tao Dapeng Zhang Avinash K Singh Mukesh Prasad Chin-Teng Lin De Xu Chinese Academy of Sciences Research Center of Precision Sensing and Control Institute of Automation Beijing China faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

Scratches on the optical surface can directly affect the reliability of the optical system. Machine vision-based methods have been widely applied in various industrial surface defect inspection scenarios. Since weak scratches imaging in the dark field has an ambiguous edge and low contrast, which brings difficulty in automatic defect detection. Recently, many existing visual inspection methods based on deep learning cannot effectively inspect weak scratches due to the lack of attention-aware features. To address the problems arising from industry-specific characteristics, this paper proposes “Attention Fusion Network;”, a convolutional neural network using attention mechanism built by hard and soft attention modules to generate attention-aware features. The hard attention module is implemented by integrating the brightness adjustment operation in the network, and the soft attention module is composed of scale attention and channel attention. The proposed model is trained on a real-world industrial scratch dataset and compared with other defect inspection methods. The proposed method can achieve the best performance to detect the weak scratch inspection of optical components compared to the traditional scratch detection methods and other deep learning-based methods.

关键词： Conferences automation Computer aided software engineering

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Assess-Ranging-Fuse: Obstacle Detection Based on Stereo Vision Threat Assessment and Ultrasonic Ranging

Assess-Ranging-Fuse: Obstacle Detection Based on Stereo Visi...

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Chinese automation Congress (CAC)

作者： Yanhui Zhang Tehuan Chen Song Chen Zhisheng Wang College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Faculty of Mechanical Engineering & Mechanics Ningbo University Ningbo China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

In this paper, we propose a stability and reliability obstacle avoidance detection system (OADS) for the aggressive flight of autonomous quadrotors. We name our system as assess-ranging-fuse: ARF. In particular, we use the sliding window on the global depth map to determine the nearest obstacle information, instead of directly using the closest depth information, to avoid misjudgment of the environment due to aircraft shaking. Our ARF uses Federal Kalman Filter (FKF) to fusion threat assessment and ultrasound ranging in OADS. Among them, threat assessment by a stereo vision composed of two RGB cameras, the global sliding window to evaluate the threat distance and give the largest object's visual threat distance. Our system is integrated into the quadrotor for indoor/outdoor and dynamic/static experimental tests, and results show that this system can achieve stable global obstacle avoidance.

关键词： Voltage control

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MODELING AND FUZZY control OF PERMANENT MAGNET SYNCHRONOUS MOTORS

MODELING AND FUZZY CONTROL OF PERMANENT MAGNET SYNCHRONOUS M...

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The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020)

作者： D.-K. Jukić T. Varga T. Benšić V. J. Štil M. Barukčić Automation and Control Institute TU Wien Vienna Austria Faculty of Electrical Engineering Computer Science and Information Technology Osijek Josip Juraj Strossmayer University of Osijek Osijek Croatia

This paper deals with Permanent Magnet Synchronous Motor modeling and control. The derived nonlinear dq model is a combination of Finite Element Method simulation data with the classical dq model. The so derived model keeps the precision of the Finite Element Method simulations and also the fast execution times of the dq model. The Finite Element Method data is included in the dq model using Artificial Neural Networks. The derived model is also used for controller design. The chosen controller is a PI like Fuzzy Logic controller, which is tuned using Genetic Algorithm optimization. The Permanent Magnet Synchronous Motor with Fuzzy Logic controller operation is tested using Real-Time (Model-in-the-Loop) simulations.

关键词： fuzzy control finite element analysis genetic algorithms neural nets permanent magnet motors machine control synchronous motors nonlinear control systems PI control electric machine analysis computing

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Super-k: A piecewise linear classifier based on Voronoi tessellations

arXiv

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arXiv 2020年

作者： Zengin, Rahman Salim Sezer, Volkan Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey Autonomous Mobility Group Electrical and Electronics Engineering Faculty Istanbul Technical University Istanbul Turkey

Voronoi tessellations are used to partition the Euclidean space into polyhedral regions, which are called Voronoi cells. Labeling the Voronoi cells with the class information, we can map any classification problem into a Voronoi tessellation. In this way, the classification problem changes into a query of just finding the enclosing Voronoi cell. In order to accomplish this task, we have developed a new algorithm which generates a labeled Voronoi tessellation that partitions the training data into polyhedral regions and obtains interclass boundaries as an indirect result. It is called Supervised k-Voxels or in short Super-k. We are introducing Super-k as a foundational new algorithm and opening the possibility of a new family of algorithms. In this paper, it is shown via comparisons on certain datasets that the Super-k algorithm has the potential of providing comparable performance of the well-known SVM family of algorithms with less complexity. Copyright © 2020, The Authors. All rights reserved.

关键词： Piecewise linear techniques

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Distributed Nash Equilibrium Seeking in Coalition Games for Uncertain Euler-Lagrange Systems With Application to USV Swarm Confrontation

arXiv

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arXiv 2025年

作者： Yuwen, Cheng Wen, Guanghui Zhou, Jialing Luan, Meng Huang, Tingwen School of Automation Southeast University Nanjing210096 China State Key Laboratory of CNS/ATM Beijing Institute of Technology Beijing519088 China Department of System Science School of Mathematics Southeast University Nanjing211189 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen218055 China

In this paper, a coalition game with local and coupling constraints is studied for uncertain Euler-Lagrange (EL) systems subject to disturbances with unknown bounds. In the coalition game, each agent collaborates with other agents within the same coalition to optimize its coalition’s cost function while simultaneously competing against agents in other coalitions. Under a distributed framework where each agent has access only to its own action, cost function, and constraint parameters, a distributed strategy is proposed to seek the Nash equilibrium (NE). By combining adaptive methods and sign functions, model uncertainties and disturbances with unknown bounds in the EL system are compensated and suppressed, respectively. Furthermore, an integration of adaptive methods and consensus protocols is employed to update the Lagrange multipliers of both local and coupling constraints. A dynamic average consensus is employed to estimate the gradient of coalition function, while the leader-following protocol is adopted to estimate the actions of other agents. By leveraging Lyapunov theory, the NE is proven to be asymptotically stable. Moreover, an unmanned surface vehicle swarm confrontation is meticulously modeled and analyzed in the coalition game framework. A diverse array of tasks, including formation, encirclement, and interception, are systematically formulated. A numerical example demonstrates the effectiveness of the proposed algorithm. Copyright © 2025, The Authors. All rights reserved.

关键词： Lagrange multipliers

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NONDESTRUCTIVE TEST FOR QUALITY control IN LABORATORY-SCALE FABRICATION OF LAMINATED COMPOSITES USING PROGRAMMABLE PORTABLE ULTRASONIC

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International Journal of Lightweight Materials and Manufacture 2025年

作者： Yusuf Giri Wijaya Suprijanto Damar Rastri Adhika Rhakamerta Hijazi Abian Nurrohmad Magister Program of Instrumentation and Control Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Research Center for Aeronautics Technology National Research and Innovation Agency Bogor Indonesia Instrumentation Control and Automation Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Nano and Quantum Technology Research Group Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Research Center for Nanosciences and Nanotechnology Institut Teknologi Bandung Indonesia Research Center for Nuclear Beam Analysis Technology National Research and Innovation Agency Tangerang Indonesia

Laminated composites are the most frequently used component materials in manufacturing unmanned aerial vehicles (UAVs) in research centers or start-up industries. On a laboratory scale, laminated composites are fabricated by relying on technicians' skills due to the involvement of manual processes. Nondestructive testing (NDT) is needed to guarantee the structural integrity of the final product of laminated composites. The work proposes a programmable portable ultrasonic for nondestructive testing (NDT) to detect a potential defect due to foreign object contamination of fabrication layers of laminate composite. The proposed programmable NDT system is built using open-board devices; therefore, it could be developed cost-effectively compared to a commercial NDT system. The proposed NDT can measure and analyze a pattern of A-scan signal as a function of foreign object contamination material. Based on a C-scan image, the proposed NDT system could also be programmed to detect the size area of potential defects due to foreign object contamination. Two types of specimens, carbon fiber-reinforced polymer (CFRP) and glass fiber-reinforced polymer (GFRP), were tested to evaluate the performance of the developed NDT system. Testing aims to identify artificial defects intentionally placed within these specimens. The proposed portable ultrasonic NDT effectively detects CFRP and GFRP defects on A-mode and C-scan images. Therefore, the proposed portable ultrasonic NDT is an affordable system that can be developed in a laboratory workshop for quality control in laboratory-scale fabrication of laminated composites.

关键词： Laminated composite laboratory-scale fabrication quality control portable ultrasonic NDT A-scan C-scan

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Experimental Prototype of High-Efficiency Wind Turbine Based on Magnus Effect

Experimental Prototype of High-Efficiency Wind Turbine Based...

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International Workshop on Electric Drives: Optimization in control of Electric Drives (IWED)

作者： Aleksandr Lukin Galina L. Demidova Dmitry V. Lukichev Anton Rassõlkin Ants Kallaste Toomas Vaimann Anouar Belahcen Faculty of Control System and Robotics ITMO University Saint Petersburg Russia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallin Estonia Department of Electrical Engineering and Automation Aalto University Helsinki Finland

ISBN: (数字)9781728141589

ISBN: (纸本)9781728141596

The main feature of Magnus wind turbine is the ability to produce energy at low wind speed. This benefit lets to use such types of turbines in smart homes, which are an important part of the development of distributed energy systems, growth of blockchain electricity technology and needs for duplication of the solar energy system in the private buildings. This paper presents topology of two cylinders Magnus wind turbine in order to ensure the highest values of power coefficient and the Magnus force. The optimal ratio of wind speed and cylinder rotation speed were detected to eliminate the oscillations caused by the Von Karman vortex street phenomenon.

关键词： Wind turbines Force Drag Rotors Mathematical model Wind speed Generators

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Vibration fatigue analysis and research of URV shunt reactor 14

Vibration fatigue analysis and research of URV shunt reactor

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14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

作者： Li, Shengmin Zheng, Zhicong Liang, Jining Xiao, Yamin Faculty of Automation and Information Engineering Xi'an University Ot Technology Xi'an710048 China Intelligent Information Processing Shaanxi Key Laboratory of Complex System Control Xi' an710048 China

ISBN: (纸本)9781538694909

Problems of vibration fatigue in UHV reactor is mentioned, comparative analysis of several commonly used fatigue analysis methods, finally, the modal superposition method is used to calculate the structural fatigue caused by vibration. Through analysis of reactor vibration data, the reason for using frequency domain signals as fatigue frequency domain load spectrum to calculate the service life of reactors. In order to perform reactor fatigue analysis, a finite element model of the reactor was first built using ANSYS Workbench finite element integration software, the frequency response function FRF is obtained by harmonic response analysis, and then the vibration time domain signal are transformed into frequency signal as load spectrum input with the power density spectrum, finally, nCode fatigue analysis software is used to estimate the service life of the reactor. © 2019 IEEE.

关键词： Finite element method

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