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Power Electronics and Application Symposium (PEAS), IEEE International

作者： Xiaohui Zeng Chunzhi Chen Lei Yang Wei Chen Qingbin Chen Yuping Huang College of Electrical Engineering and Automation Fuzhou University Fuzhou China Laboratory of Aerospace Servo Actuation and Transmission Beijing Institute of Precision Mechatronics and Controls Beijing China

The servo power supply is the key power supply equipment of aerospace electromechanical servo systems, and its volume, specific energy, and instantaneous output power directly determine the overall performance of the system. This paper proposes a two-stage topology that can satisfy the capacitive voltage with a wide input range based on the technical specification requirements of an isolated bi-directional DC-DC converter for aerospace applications. Firstly, the operation principle of the topology is analyzed, and the volume and weight of the converter can be reduced with magnetic integration technology. Moreover, the whole control scheme is introduced and the fast charge and discharge control strategy of the capacitor is analyzed in detail. Finally, a prototype with a peak output power of 7.6 kW was developed, the overall weight was 2.24 kg (with the case), and the volume was $\mathbf{286.4}\times \mathbf{146.4}\times \mathbf{63.5} \mathbf{mm}^{\mathbf{3}}$ . The experimental results show that the rising and falling time of the output current is less than 1.5 ms, and the stabilized current precision is less than 10%. At the same time, the prototype can achieve 50 times continuous charge and discharge, which effectively meets the requirements of complex power conditions of the aerospace electromechanical servo system.

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Construction Design of AGV Caller System 9th

Construction Design of AGV Caller System

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9th International Workshop of Advanced Manufacturing and automation, IWAMA 2019

作者： Xi, Zhang Xin, Wang Xu, Yuanzhi College of Mechatronics Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9789811523403

To realize the call request from the shop station to the AGV (Automatic Guided Vehicle), the caller came into being. However, the existing wireless physical caller is mostly based on a microcontroller and hardly extended. Thus, it is unable to reflect the information between the station and the AGV. A set of caller and CCS (Control Center System) software to realize basic call function was designed in this paper. Moreover, the caller can display task status, queue situation, vehicle status fed back and CCS have the function of location management. In the experiment, a workshop caller system was constructed proposed by this paper to verify the validity and stability. The result of the experiment shows that the flexible of AGV caller system has been great enhance compared with traditional caller system. Finally, the validity and stability of the AGV caller system are verified by experiments. © Springer Nature Singapore Pte Ltd 2020.

关键词： Automatic guided vehicles

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A just-in-time learning based integrated IMC-ILC control strategy for batch processes

A just-in-time learning based integrated IMC-ILC control str...

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第40届中国控制会议

作者： Chengyu Zhou Li Jia Department of Automation College of Mechatronics Engineering and AutomationShanghai University Shanghai Key Laboratory of Power Station Automation Technology Department of AutomationCollege of Mechatronics Engineering and AutomationShanghai University

This paper deals with issue of two dimensional(2 D) control for batch ***,in order to derive high efficiency and accuracy process model,a novelty hierarchical searching mechanism just-in-time learning(JITL) model is ***,on the basis of the JITL model,an integrated internal model control(IMC) and iterative learning control(ILC)2 D control scheme is presented,where the IMC in time-axis can reject disturbances and uncertainties,and the ILC in batch-axis can guarantee the control system asymptotically ***,the initial batch control input trajectory of the IMCILC algorithm can be obtained by using the JITL from inverse model *** a result,not only the issue of model-plant mismatches and real-time disturbances can be solved,but also obtain faster system convergence rate and smaller tracking ***,a typical batch process is proved to demonstrate the feasibility and superiority.

关键词： Batch processes Iterative learning control Just-in-time learning Internal model control

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Dynamic Linear Prediction Model Based on Energy Storage System Compensating Prediction Error for Wind Power

Dynamic Linear Prediction Model Based on Energy Storage Syst...

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Power and Energy engineering (ICPEE), International Conference on

作者： Wei Yang Li Jia Yong Chen Yue Xu Chengyu Zhou Department of Automation College of Mechatronics Engineering and Automation Shanghai University Shanghai China Petrochina Materials Procurement Center Northwest Branch Ningxia China

ISBN: (纸本)9781665464765

The wind energy is characterized by randomness and volatility., which gives rise to certain wind power prediction (WPP) errors and seriously endangers the security and stability of power system. Dynamic linear prediction model based on energy storage system (ESS) compensating prediction error for wind power is studied in this paper. Firstly, an outlier cleaning method based on change-point group and quartile (CPGQ) algorithm is proposed to improve the availability of wind power data, which is conducive to follow-up information mining. Then, for sake of adapting to the complex mechanism and strong nonlinearity of wind power generation process, just in time learning (JITL) based dynamic linear prediction model is proposed for wind power to approximate the nonlinear process of wind power generation through a series of dynamic linear processes. In addition, in order to reduce the WPP error, a control strategy considering state of capacity (SOC) variation of the ESS is proposed. Finally, the feasibility and superiority of the model are demonstrated by application examples.

关键词： Adaptation models Wind energy Power system dynamics Wind power generation Predictive models Power system stability Prediction algorithms

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Accurate Active and Unbalanced Harmonic Power Sharing of Islanded Microgrid Based on Small-AC-Signal Injection

Accurate Active and Unbalanced Harmonic Power Sharing of Isl...

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Chinese Control and Decision Conference, CCDC

作者： Yiyun Li Zhi Zhang Haohui Chen Huaizhi Wang Bin Ren Department of Electrical Engineering and Automation Dongguan University of Technology Dongguan College of Mechatronics and Control Engineering Shenzhen University Shenzhen China

ISBN: (纸本)9781665478977

The structure of islanded microgrids is complex and has many problems. For this problem of equalizing the fundamental active power, many articles use the traditional droop control, which cannot simulate the physical characteristics of inertia and damping in the power generation process, which are considered by the virtual synchronous generator (VSG) technology. The mismatch of the feeder impedance can lead to the inequality of unbalanced harmonic power for the parallel inverters. To address this problem, a control method is proposed that injects an additional small AC signal (SACS)into the output voltage of each inverter and adds an adaptive virtual impedance. This method is similar to the conventional active-frequency droop control, where the output frequency of the injected SACS is linearly related to the output unbalanced harmonic power. When the unbalanced harmonic power rises, the output frequency of the injected signal also rises. And the virtual impedance on the negative sequence series is adjusted by detecting the active power generated by the injected SACS. When the system is stable, the frequency of the injected SACS in each inverter will be the same, and the sum of the virtual inductance and the feeder inductance of each inverter will be the same. The active power and the unbalanced harmonic power of the parallel distributed generator set can be equally shared without communication.

关键词： Damping Inductance Microgrids Power system harmonics Harmonic analysis Inverters Synchronous generators

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Autonomous Servo-Electro Braking System for High-Speed EV

Autonomous Servo-Electro Braking System for High-Speed EV

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International Conference on mechatronics (ICOM)

作者： Rahman Md Ataur M Habibullah Sany Ihsan Mahbubur Rashid Salmiah Ahmed GameAbove Engineering and Technology Eastern Michigan University Ypsilanti Michigan USA Mechanical and Aerospace Engineering Kulliyyah of Engineering International Islamic University Malaysia Mechatronics Engineering Kulliyyah of Engineering International Islamic University Malaysia Automation and Control System Engineering College of Engineering and Technology University of Doha for Science and Technology Doha Qatar

ISBN: (数字)9798350349788

ISBN: (纸本)9798350349795

Rising in popularity of electric vehicles on the roads has created several challenges. Accidents remain one of the most serious road accidents due to which the high-voltage batteries in electric vehicles can lead to fire or even instant death of the passenger(s). Autonomous Emergency Braking System (AEBS) was developed to solve braking problems associated with ABS. However, the system is designed to notify the driver rather than act on it, so there is always a high chance that AEBS continually causes problems when driving in close proximity. In addition, AEBS is only intended for vehicles with low speeds of around 70 km/h. The purpose of this paper is to present the development of a fuzzy intelligent adaptive autonomous servo-electromagnetic braking system (ASEBS) for both close-range driving and high-speed electric vehicles to avoid or mitigate a collision without driver reaction. An intelligent fuzzy logic algorithm was introduced to automatically brake the vehicle regardless of its operating speed and vehicle-to-object (V20) distance to prevent or mitigate a collision. An intelligent fuzzy logic controller controls the power flow to the servo-electromagnetic drive to provide vehicle deceleration and emergency stop. A laboratory pilot model of ASEBS with a double drive has been developed. The ASEBS intelligent fuzzy logic controller has been tested under uniform deceleration and emergency braking of a vehicle, both when driving in close proximity and high speed.

关键词： Fuzzy logic Road accidents mechatronics Roads Prevention and mitigation High-voltage techniques Electric vehicles

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Cross-individual electrophysiological signal recognition in Clivia biosensors via domain adaptation

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Applied Soft Computing 2025年 178卷

作者： Liu, Chenrui Qi, Ji Xia, Xiuxin Wang, Yicheng Wang, Qiuping Sun, Lingfang Men, Hong School of Automation Engineering Northeast Electric Power University Jilin132012 China Institute of Advanced Sensor Technology Northeast Electric Power University Jilin132012 China College of Mechatronics Changchun Polytechnic Changchun130033 China College of Instrumentation and Electrical Engineering Jilin University Changchun130026 China

This study explores the use of Clivia plants as biosensors for environmental monitoring and ecological protection, focusing on the analysis of electrophysiological signals generated under various stress conditions. Plants’ ability to produce real-time electrophysiological signals in response to stressors such as salinity, drought, and pest infestations presents a promising method for precision agriculture and ecological surveillance. However, a key challenge is the significant variability in plant responses and signal distributions across individual plants, which limits the generalizability of models trained on specific plant *** address this, we introduce DA-PlantNet, a novel model that leverages domain adaptation techniques to enhance the model's adaptability and transferability across different plant individuals. By minimizing discrepancies in feature distribution between plants, DA-PlantNet effectively differentiates and classifies electrophysiological signals from various Clivia individuals, enabling robust cross-individual classification. We collected signals from Clivia plants under varying soil moisture conditions and analyzed them using DA-PlantNet. Experimental results demonstrate that DA-PlantNet significantly outperforms traditional methods, achieving an accuracy of 95.336 %, precision of 93.853 %, recall of 95.467 %, and an F1-score of 94.047 %, underscoring its robustness and generalization *** research introduces a novel approach to enhancing the adaptability and transferability of plant-based biosensor models, paving the way for scalable and reliable applications in precision agriculture and environmental monitoring. DA-PlantNet offers a valuable tool for ecological protection and sustainable agricultural practices, advancing the engineering of plant-based biosensors for real-world applications. © 2025 Elsevier B.V.

关键词： Environmental monitoring

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Optimal Placement of Voltage Regulator and Capacitor for Distribution System

Optimal Placement of Voltage Regulator and Capacitor for Dis...

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2021 International Conference on System, Computation, automation and Networking, ICSCAN 2021

作者： Rajalakshmi, M. Addisu, Molla Jeyakkannan, N. Renuka Devi, G. Karthik, C. Jyothi Engineering College Department of Mechatronics Thrissur India Woldia University Department of Electrical and Computer Engineering Ethiopia Manakula Vinayagar Institute of Technology Deprtment of Robotics and Automation Puduchery India

ISBN: (纸本)9781665439862

The radial distribution system (RDS) is the ultimate link between the high-voltage transmission system (HVT) and the user in most electrical systems in Ethiopia. The Distribution System (DS) is divided into different areas for proper operation and supply of electricity demand. The study in this paper applies specifically to the Gondar feeder, which consists of 60 nodes with 3,413 MW of total capacity, in power distribution lines. For the modulation of voltages and DS node power loss indices, the fuzzy membership functions are used. A fluid expert system (FES) with a collection of heuristic legislation will determine the voltage regulator and the capacitor suitability index. The proposed method discusses and compares the effectiveness and results obtained from the voltage control system and the optimal placement of capacitors. © 2021 IEEE.

关键词： Voltage regulators

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Semantic communication-based convolutional neural network for enhanced image classification

Franklin Open

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Franklin Open 2024年 9卷

作者： Guler, Nivine Hazem, Zied Ben Department of Computer Science University of Central Asia Naryn 722918 Kyrgyzstan Automation and Sustainability Research Centre (ASRC) Department of Mechatronics Engineering College of Engineering (COE) University of Technology Bahrain Salmabad Bahrain

In AI-IoT environments, the traditional centralized cloud computing approach leads to high network transmission volumes and communication delays, negatively affecting intelligent task performance. This study addresses these issues by introducing an innovative semantic communication system model for intelligent tasks, leveraging deep learning techniques. The research focuses on image classification tasks constrained by bandwidth and delay in AI-IoT scenarios. The proposed model features a tailored semantic communication network architecture, where image feature maps are extracted on IoT devices. These semantic relations are then compressed based on the extracted feature maps to reduce power consumption on IoT devices and mitigate communication transmission pressures. Simulations and comparative analyses of various network performance metrics show that the proposed semantic communication system improves image classification accuracy by 90%% at low signal-to-noise ratios compared to traditional methods. With an 80%% compression ratio, the classification accuracy loss is minimal—within 2%%—when the signal-to-noise ratio exceeds 0. Additionally, at a signal-to-noise ratio of 20, the semantic compression transmission scheme enhances classification accuracy by 30%% compared to random compression. Moreover, the proposed system outperforms traditional approaches in execution time by approximately 80%%. © 2024 The Author(s)

关键词： CNN IoT Optimization algorithm Semantic communication

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SLAM System Based on Tightly Coupled Visual-inertial 4

SLAM System Based on Tightly Coupled Visual-inertial

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4th International Conference on Artificial Intelligence, automation and Control Technologies, AIACT 2020

作者： Chen, Zhang Mei, Wang Yunlei, Yu Yongyun, Gao College of Mechatronics Engineering and Automation Shanghai University Shanghai200444 China

Aiming at the problem of mobile robot positioning, IMU information is used to improve the performance of visual SLAM. Firstly, instead of the calculation of feature descriptor, LK optical flow is used in the processing of visual information, to increase the speed of feature extraction. And detectors are used to remove outliers. Secondly, the visual information and IMU information are initialized separately to obtain the camera pose and IMU pose. And then Visual-inertia joint initialization is conducted by tightly coupling of the IMU information and the visual information, to improve the calculation. Finally, the pose state estimation is achieved through back-end optimization. The validity of the proposed algorithm is verified by the experiments. © Published under licence by IOP Publishing Ltd.

关键词： Feature extraction

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