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DSP-based adaptive digital control method for frequency tracking and impedance angle control of MCR-WPT systems

JOURNAL OF POWER ELECTRONICS 2025年第3期25卷 555-564页

作者： Luo, Jin Shen, Hao Xu, Xiaojuan Anhui Univ Technol Anhui Prov Key Lab Special Heavy Load Robot Maanshan Peoples R China Anhui Univ Technol Key Lab Power Elect & Mot Control Anhui Higher Educ Inst Maanshan Peoples R China

Aiming at the problem where the transmission power and transmission efficiency are affected by frequency detuning in wireless power transfer (WPT), a frequency tracking method using current-over-zero comparison and a digital control method using a dynamic time lag is proposed based on the digital signal processing (DSP) technology. The proposed method only needs to determine the time when current passes the zero point and start current sampling. Then a simple digital phase-locked loop (PLL) can be accomplished by comparing the current sampling value with the setting current value at the zero point. Combined with voltage-current double closed-loop phase-shift control, constant current or voltage output is realized. Finally, a DSP-based experimental setup with an output power of 300 W is designed for a series of verification experiments. The findings show that the method can achieve fast frequency tracking as well as phase adjustment when the air-gap distance and load are changed. It also satisfies constant current or voltage output. More importantly, the transmission efficiency of the weak inductive state achieved by the proposed method is better than that of the fixed-frequency and resonant-frequency state. In addition, it is 5% higher than that of the fixed-frequency state.

关键词： Wireless power transfer Frequency tracking Current-over-zero comparison Dynamic time-lag Weak inductive

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Canonical variate residual analysis for industrial processes fault detection

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CANADIAN JOURNAL OF CHEMICAL ENGINEERING 2025年第2期103卷 697-712页

作者： Li, Yuting Li, Fei Liu, Xiaoqiang Anhui Univ Technol Sch Elect & Informat Engn Maanshan Peoples R China Anhui Univ Technol Key Lab Met Emiss Reduct & Comprehens Utilizat Res Minist Educ Maanshan Peoples R China Anhui Univ Technol Anhui Prov Key Lab Special Heavy Load Robot Maanshan Peoples R China

With the rapid development of intelligent integration in industrial processes, a challenge emerges. Early failures cannot be detected in a timely manner, potentially leading to significant financial losses. While traditional canonical variate analysis (CVA) methods are effective for dynamic process monitoring, they may lack the flexibility required for early fault detection. To address this challenge, a fault detection method based on canonical variate residual analysis (CVRA) is proposed. CVRA introduces a distinctive residual statistic that preserves critical information about the data. It places heightened focus on the primary components of the data, capturing core features of system changes and enhancing sensitivity to early anomalies. Additionally, by incorporating the geometric properties of the Manhattan distance, it mitigates statistical data errors, thereby improving detection accuracy. Simulation results validate the method's effectiveness in the Tennessee Eastman (TE) process. Furthermore, the successful application of the three-phase flow facility provides a benchmark for evaluation using real process data.

关键词： canonical variate analysis Manhattan distance residual statistics TE process three-phase flow facility

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IPRR: thermal error modeling for CNC machines based on individual penalized ridge regression

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2025年第5-6期136卷 2745-2755页

作者： Wei, Xinyuan Zhang, Nan Zhou, Jinghuan Ye, Honghan Anhui Univ Technol Sch Elect & Informat Engn Maanshan 243032 Anhui Peoples R China Solventum Co Hlth Informat Syst 2510 Conway Ave St Paul MN 55144 USA Anhui Univ Technol Anhui Prov Engn Lab Intelligent Demolit Equipment Maanshan 243032 Anhui Peoples R China Anhui Univ Technol Anhui Prov Key Lab Special Heavy Load Robot Maanshan 243032 Anhui Peoples R China

Thermal errors have become the main factor affecting the machine tool accuracy. Statistical prediction and compensation models are commonly established based on the measured temperature data to reduce thermal errors. Current literature typically focuses on first selecting temperature-sensitive points (TSPs) to reduce multicollinearity and then building thermal error models for CNC machines. Thus, this two-step approach loses useful information after the variable selection and prevents thermal error models from using this lost information. In addition, there are few approaches that can simultaneously reduce multicollinearity through variable selection and model thermal errors in one single step. Therefore, to fill the research gap, a one-shot thermal error modeling and prediction approach is proposed based on the individually penalized ridge regression (IPRR). Specifically, the traditional ridge regression method, which intrinsically fails to select TSPs, is adopted and modified by setting up individually penalized ridge parameters for each variable, thereby achieving both variable selection and thermal error modeling simultaneously. Then, the proposed IPRR algorithm is compared using the experimental data with the existing methods. The comparison results show that the IPRR algorithm can significantly improve the prediction accuracy by 10% and robustness by 40% on thermal errors. Finally, the thermal error compensation experiments are conducted on the experimental object to show the practicability of the IPRR algorithm.

关键词： CNC machine tools Individual penalized ridge regression Prediction accuracy Robustness Thermal error

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Adaptive fault-tolerant control on complex networks with semi-Markov jump topology under random packet loss

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JOURNAL OF CONTROL AND DECISION 2025年第2期12卷 321-333页

作者： Qi, Yunhan Su, Lei Xia, Rongsheng Fang, Tian Shen, Hao Anhui Univ Technol Sch Elect & Informat Engn Maanshan 243032 Peoples R China Anhui Univ Technol Anhui Prov Key Lab Special Heavy Load Robot Maanshan 243032 Peoples R China Huatian Engn & Technol Corp MCC Maanshan Peoples R China

In this paper, semi-Markov process and adaptive fault-tolerant law are used to study the synchronization of complex networks in the presence of topology mutations and actuator failures. Firstly, the semi-Markov jump process, which is more practical than the traditional Markov jump process, is used to simulate the topology change of complex networks. Secondly, by designing adaptive fault-tolerant controller, the influence of actuator fault and interference on the system is eliminated. Then, considering the random packet loss caused by network channel congestion and limited bandwidth resources, a control strategy is developed to achieve convergence of the synchronisation error system. Finally, a numerical example and a practical example of Chua's circuit are given to verify the validity of the proposed theory.

关键词： Semi-Markov jump topology complex networks adaptive fault-tolerant control packet loss

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In situ atmospheric cold micro-PECVD of uniform superhydrophobic silica on internal surface of tubes for improving anti-corrosion and anti-impact behaviors

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SURFACE & COATINGS TECHNOLOGY 2025年 496卷

作者： Wang, Xin Wang, Tao Sheng, Jie Li, Meng Shi, Liping Chen, Zhaoquan Rao, Sixian Anhui Univ Technol Anhui Prov Key Lab Special Heavy Load Robot Maanshan 243032 Peoples R China Anhui Univ Technol Sch Mech Engn Maanshan 243032 Peoples R China China Int Sci & Technol Cooperat Base Intelligent Maanshan 243032 Peoples R China Anhui Univ Technol Sch Elect & Informat Engn Maanshan 243032 Peoples R China

Internal surface modification of the tubes by film deposition is an efficient approach to enhance the corrosion and impact resistance. However, there is currently a lack of simple and feasible method for treating the inner wall of tubes. In this paper, in situ atmospheric cold micro-plasma enhanced chemical vapor deposition (AC-mu PECVD) method was utilized to deposit superhydrophobic SiOx films on the inner surface of tube with a novel flexible right-angle plasma jet source. The source employed a Venturi atomizer for precursor introduction and used pulse modulation to enhance the plasma jet stability. The plasma jet reached a maximum temperature of 64.6 degrees C, and the plasma jet image exhibited the dazzling cyan color. And optical emission spectrums revealed that numerous reactive silicon-containing species (Si 251.6 nm, Si 288.2 nm) were generated in the plasma. The results of atomic force microscopy, scanning electron microscopy and electron emission spectroscopy showed that the deposited SiOx films displayed flake-like characteristics with micro-nanostructures. In static deposition, the film thickness reached 290 mu m within 7 min, while in dynamic conditions, the average film thickness was 50 mu m. Water contact angle measurements indicated that the film deposition achieved uniform superhydrophobicity both circumferentially and axially on the tube's inner surface, with a contact angle reaching 150 degrees and a sliding angle as low as 0.1-0.2 degrees. Simulations revealed a gas diffusion flow with a maximum velocity of 0.14 m/s at the generator's rear region. The EIS results show that the film surface achieved a maximum Rf of 2.56 x 105 S2. which is significantly higher than the original surface's 4.82 x 103 S2. Under a 1500 ml/min water flow impact, the film's structural stability remained intact for approximately 1 min. The potential performance of the deposited films on the inner surface indicated that the deposited SiOx films using AC-mu PECVD method si

关键词： PECVD Superhydrophobic coating micro plasma Internal surface modification Anti-corrosion

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ETR: Enhancing Taillight Recognition via Transformer-Based Video Classification

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2025年第2期26卷 2721-2733页

作者： Zhou, Jiakai Yang, Jun Wu, Xiaoliang Zhou, Wanlin Wang, Yang Nanjing Univ Aeronaut & Astronaut Coll Mech & Elect Engn Nanjing 210016 Peoples R China Duolun Technol Co Ltd Nanjing 210016 Peoples R China Anhui Univ Technol Sch Mech Engn Maanshan 243002 Peoples R China Anhui Prov Key Lab Special Heavy Load Robot Maanshan 243000 Peoples R China

In autonomous driving, efficiently and accurately recognizing taillight states using dashcams is essential for interpreting other vehicles' intentions. Recent video-based taillight recognition methods outperform earlier image-based approaches. However, they face challenges in efficiently integrating spatiotemporal information and managing high computational costs. In this paper, we introduce ETR, an accurate and efficient Transformer-based video classification model designed to enhance taillight recognition. Specifically, we first design a lightweight backbone to extract temporal and spatial features from videos and generate queries with prior information. Next, we develop a hierarchical progressive Transformer decoder that integrates feature maps from different levels of the backbone to enhance the model's global information. Finally, we employ a classification head to predict the taillight state of the video. Additionally, we introduce a public dataset, ETR-Taillights, to address the current lack of open datasets for vehicle taillight recognition. The dataset contains 28,799 dashcam video clips, making it the largest public taillight recognition dataset. Experiments show that our method achieves a 91.69% F-measure on the ETR-Taillights dataset, surpassing the latest taillight recognition methods, VIF by 6.94% and CNN-LSTM by 10.82%. Additionally, it achieves an inference speed of 45.06 FPS, being 3.6 times faster than VIF. Furthermore, we conduct real-world road tests to demonstrate our method's robustness and effectiveness in practical scenarios. Our model and dataset are available at https://***/yang590/ vehicle-taillight.

关键词： Convolutional neural networks Feature extraction Computational modeling Adaptation models Streaming media Image recognition Decoding Autonomous vehicles Accuracy Autonomous driving transformer vehicle taillight recognition taillight dataset taillight dataset

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Simulation and analysis of the electro-hydraulic coordinated system for the disc brake system in mining belt conveyor

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MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES 2025年第2期53卷 1105-1119页

作者： Yang, Meisheng Jiang, Wen Bao, Jiahan Lian, Kun Anhui Univ Technol Anhui Prov Key Lab Special Heavy Load Robot Maanshan Peoples R China Chongqing Jiaotong Univ Key Lab Hydraul & Waterway Engn Minist Educ Chongqing Peoples R China Changzhou Univ Jiangsu Key Lab Green Proc Equipment Changzhou Peoples R China Anhui Univ Technol Sch Mech Engn Maanshan Peoples R China Anhui Univ Technol Engn Technol Res Ctr Hydraul Vibrat Technol Maanshan Peoples R China

The present study aims to investigate the dynamic performance of the disk hydraulic brake system in a mining belt conveyor. To achieve this, a simulation model of the hydraulic system for the belt conveyor is designed and constructed using AMESim. It is recognized that brake disk deformation can lead to brake shock, thus an ADAMS rigid-flexible coupling model for hydraulic disk brakes is established. Furthermore, the concept of rigid-flexible coupling mechanical systems is introduced into the hydraulic system to enable interaction between physical quantities. Use fuzzy logic rules to adjust parameters in Simulink, and in response to the suboptimal control of braking and acceleration, a compact non-model-based adaptive algorithm is incorporated into the conventional PID control algorithm. Employing mechanical modeling and multidisciplinary dynamic collaborative simulation technology, a simulation system integrating electromechanical and hydraulic aspects is developed for the disk hydraulic brake of belt conveyors. This system is employed to conduct simulation studies on the closed-loop control of braking disk speed and deceleration/acceleration for belt conveyors. The study findings reveal that the non-model-based adaptive PID control algorithm, in comparison to fuzzy PID, not only demonstrates quicker and more stable responses across various dynamic performance curves but also markedly reduces the axial oscillation amplitude of the braking disk under braking conditions.

关键词： Co-simulation disk hydraulic brake mechatronics and hydraulic integration model free adaptive PID rigid-flexible coupled

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Bio- and bioinspired textures for enhancing friction forces

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SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES 2025年第1期13卷

作者： Li, Meng Sun, Yongjian Bi, Bo Wang, Tao Shi, Liping Wang, Xiaolei Anhui Univ Technol Anhui Prov Key Lab Special & Heavy Load Robot Maanshan 243032 Peoples R China Anhui Univ Technol Sch Mech Engn Maanshan 243032 Peoples R China AHUT Wuhu Technol & Innovat Res Inst Wuhu 241000 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Mech & Elect Engn Nanjing 210016 Peoples R China

The concept of enhancing surface friction through the implementation of surface texturing has garnered significant attention. In nature, numerous animal species are renowned for their reliable attachment pads, characterized by textured epidermal surfaces featuring a dense array of distinct geometries. These intriguing surface textures enable them to achieve robust friction necessary for locomotion or attachment on various surfaces. In the realm of technology, such concise yet efficient frictional designs have also been noteworthy due to their wide-ranging applications in areas such as biomimetic robots, tires, and wearable devices. However, despite the extensive development of artificial mimicked textures, their frictional performance still falls short compared to natural systems. This paper presents an overview of recent advancements in bio- and bioinspired textures aimed at augmenting friction, encompassing their architectural designs, inherent properties, underlying physical principles, and future research directions.

关键词： texture friction biomimetics polymer surface

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Will users practice what they preach? Exploring the influencing factors of the intention behaviour gap in electric vehicles adoption

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TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES 2025年 31卷

作者： Wang, Wanying Mohamed, Moataz Anhui Univ Technol Sch Elect & Informat Engn Maanshan 243002 Anhui Peoples R China Hefei Univ Technol Intelligent Interconnected Syst Lab Anhui Prov Hefei 230009 Peoples R China Anhui Univ Technol Key Lab Multidisciplinary Management & Control Com Maanshan 243002 Anhui Peoples R China Anhui Prov Key Lab Digital Twin Technol Met Ind Maanshan 243002 Anhui Peoples R China AnHui Prov Key Lab Special Heavy Load Robot Maanshan 243032 Anhui Peoples R China McMaster Univ Dept Civil Engn Hamilton ON Canada

This study explores the intention-behavior gap in electric vehicle (EV) adoption, focusing on the often overlooked discrepancy between users' stated intentions and their actual purchasing behavior. We began by developing a theoretical framework and formulating research hypotheses based on a comprehensive EV adoption literature review and theory of planned behavior. Subsequently, data from a simulated vehicle purchase game involving 2647 participants in Canada were utilized to test these hypotheses by a structural equation model method. Then, potential EV users were categorized according to different intention-simulated behavior relationships through the K-means clustering method to further explore the characteristics of user groups with and without intentionsimulated behavior gap. The findings indicate that while purchase intentions have a positive influence on simulated behavior, their predictive power is limited, explaining only 10.89 % of the variance in simulated behavior. key factors such as gender, house type, and homeownership significantly moderate this relationship (p < 0.001). Four segments emerged from the analysis, with two-"green image with no action" users and "low intention" EV buyers-emerging as primary contributors to the intention-behavior gap. In the gap group (n = 1329), the relationship between intention and simulated behavior was negative (-0.526 standardized regression weight, p < 0.001). While concerns about emissions motivated EV adoption intentions (p < 0.001), actual purchasing behavior was more strongly influenced by budget (p = 0.033), body style preference (p = 0.001), and the availability of home charging facilities (p < 0.001). The most important contributions of this study are the measurement and evaluation of the EV purchase intention-behavior gap. The findings demonstrate that, while the assumptions in the theory of planned behavior about the interaction between individual psychological factors are sound, more elements must be inco

关键词： Intention-behaviour gap Electric vehicles Structural equation model Adoption intention Simulated behaviour

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Force Measurement Technology of Vision-Based Tactile Sensor

ADVANCED INTELLIGENT SYSTEMS

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ADVANCED INTELLIGENT SYSTEMS 2025年第1期7卷

作者： Fang, Bin Zhao, Jie Liu, Nailong Sun, Yuhao Zhang, Shixin Sun, Fuchun Shan, Jianhua Yang, Yiyong Beijing Univ Posts & Telecommun Sch Artificial Intelligence Beijing 100876 Peoples R China Anhui Univ Technol Anhui Prov Key Lab Special Heavy Load Robot Maanshan 243002 Peoples R China Beijing Inst Control Engn Natl Key Lab Space Intelligent Control Beijing 100094 Peoples R China China Univ Geosci Beijing Sch Engn & Technol Beijing 100083 Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China

Marker-type vision-based tactile sensors (VTS) realize force sensing by calibrating marker vector information. The tactile visualization can provide high-precision and multimodal force information to promote robotic dexterous manipulation development. Considering VTS's contribution to force measurement, this article reviews the advanced force measurement technologies of VTSs. First, the working principle of marker-type VTSs is introduced, including single-layer markers, double-layer markers, color coding, and optical flow. Then, the relationship between the marker type and the category of force measurement is discussed in detail. On this basis, the process of marker feature extraction is summarized, including image processing and marker-matching technologies. According to the learning approach, force measurement methods are classified into physical and deep learning models. Further, branches of each method are analyzed in terms of input types. Combined with measuring range and precision, the correlation of sensor design, materials, and recognition methods to force measurement performance is further discussed. Finally, the difficulties and challenges are analyzed, and future developments are proposed. This review aims to deepen understanding of the research progress and applications and provide a reference for the research community to promote technology generations in related fields. Force sensing is an important function of marker-type vision-based tactile sensors. This review focuses on force measurement technologies based on visuotactile sensing from sensing principle, marker layer design, information process, and measurement precision, intending to provide a reference for the research community in marker layer design optimization, high-quality force feature extraction, and robot's operating *** (c) 2024 WILEY-VCH GmbH

关键词： dexterous manipulations force measurements marker-type vision-based tactile sensors

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