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Stability Analysis on Iterative PID Control Design Algorithm for Maximizing Proportional Gain

Transactions of the Korean institute of Electrical Engineers 2025年第2期74卷 332-338页

作者： Joo, Youngjun Department of Electrical Engineering Institute of Advanced Materials and Systems Sookmyung Women‘s University Korea Republic of

This paper deals with an iterative proportional-integral-derivative (PID) gain tuning algorithm to maximize the proportional (P) gain while guaranteeing the stability of the closed-loop system. Indeed, by increasing P-gain, the performance of the closed-loop system, such as the steady-state error, disturbance rejection, and transient response, is improved. However, increasing P-gain alone generally destabilizes the closed-loop system, and thus, the control designer also needs to increase the derivative (D) gain. To improve the control performance and guarantee stability simultaneously, P- and D-gains are sequentially increased in an iterative manner. Furthermore, if necessary, the integral (I) gain is selected to achieve the desired steady-state performance with the pre-designed PD controller. With its strong control performance, the proposed algorithm makes it easy to design PID gains and can be applicable to the fine-tuning of PID gains selected by other PID gain tuning algorithms. In addition, the stability conditions of designing PID gains are presented for linear time-invariant systems. Thus, the stability of the closed-loop system is guaranteed while separately increasing each P-, I-, and D-gain. To validate the effectiveness of the proposed algorithm, simulations for a single-link flexible robot manipulator system have been conducted. © The Korean institute of Electrical Engineers.

关键词： Disturbance rejection

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Recent advances in photopolymerization 3D printing of alumina-ceramic

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Progress in Natural Science:Materials International 2025年第1期35卷 1-30页

作者： M.Irfan Hussain Min Xia XiaoNa Ren Zhen Shen Muhammad Jamil Changchun Ge Institute of Powder Metallurgy and Advanced Ceramics School of Material Science and Engineering University of Science and Technology Beijing State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics

Digital light processing(DLP) 3D printing has a huge potential for manufacturing intricate and customized ceramic parts with high precision and cost-effectiveness. Research in this field contributes to material innovation,opening the avenues for new process designs in both scientific and industrial sectors. However, the implementation of DLP 3D printing technology in ceramic research has not yet reached the maturity level as that in polymer and tissue engineering. Necessarily, a holistic in-depth literature reporting the successful integration of alumina ceramics within DLP 3D printing technology is urgently needed. This review, systematic examines recent progress in DLP technology, focusing on photopolymer resins that incorporate UV-sensitive monomers, photoinitiators, and dispersants, as well as their synergistic effects on achieving high-quality printing, desirable material properties, and enhanced performance. Further, the review discusses key factors including post-processing characteristics such as debinding and sintering, which influence microstructure, and defect formation including microcracks, porosity and voids. Finally, the challenges associated with printing and sintering are highlighted,aiming to identify focused focused development pathways and potential solution to optimize outcomes. This analysis clarifies existing challenges and also propsoes future applications for DLP technology in the aluminaceramic field.

关键词： Al2O3 ceramics Applications Digital light processing (DLP) Post-processing Resin

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Enhancing rheology and mechanical properties of DLP 3D-printed Si_(3)N_(4)materials via composition optimization and gas-pressure sintering

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International Journal of Minerals,Metallurgy and Materials 2025年第5期32卷 1220-1233页

作者： Qing Qin Gang Xiong Lin Han Yujuan Zhang Zhen Shen Changchun Ge Institute of Powder Metallurgy and Advanced Ceramics School of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and TechnologyInstitute of AutomationChinese Academy of SciencesBeijing 100190China

Digital light processing(DLP)is a crucial additive manufacturing(AM)technique for producing high-precision ceramic *** study aims to optimize the formulation of Si_(3)N_(4)slurry to enhance both its performance and manufacturability in the DLP process,and investigate key factors such as particle size distribution,photopolymer resin monomer ratios,and dispersant types to im-prove the slurry’s rheological *** these optimizations,a photosensitive Si_(3)N_(4)slurry with 50vol%solid content was de-veloped,exhibiting excellent stability,and low viscosity(2.48 Pa·s at a shear rate of 12.8 s^(-1)).The effects of gas-pressure sintering on the material’s phase composition,microstructure,and mechanical properties were further explored,revealing that this technique significantly increases the flexural strength of the green sample from(109±10.24)to(618±42.15)*** sintered ceramics exhibited high hard-ness((16.59±0.05)GPa)and improved fracture toughness((4.45±0.03)MPa·m^(1/2)).Crack trajectory analysis revealed that crack deflec-tion,crack bridging,and the pull-out of rod-likeβ-Si_(3)N_(4)grains,are the main toughening mechanisms,which could effectively mitigate crack *** these mechanisms,crack deflection and bridging were particularly influential,significantly enhancing the frac-ture toughness of the Si_(3)N_(4)***,this research highlights how monomer formulation and gas-pressure sintering strengthen the performance of Si_(3)N_(4)slurry in the DLP three-dimensional printing *** work is expected to provide new insights for fabricat-ing complex Si_(3)N_(4)ceramic components with superior mechanical properties.

关键词： additive manufacturing Si_(3)N_(4)slurry low viscosity pressure sintering

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systems engineering and Validation: A systematic literature review: Contributing to sustainability with validation 24

Systems Engineering and Validation: A systematic literature ...

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7th International Conference on Computational Intelligence and Intelligent systems, CIIS 2024

作者： Humpert, Lynn Zagatta, Kristin Anacker, Harald Dumitrescu, Roman Department of Systems Engineering Fraunhofer Institute for Mechatronic Systems Design North Rhine Westphalia Paderborn Germany Bl Advanced Systems Engineering Fraunhofer Institute for Mechatronic Systems Design North Rhine Westphalia Paderborn Germany

ISBN: (纸本)9798400717437

The European Green Deal is one of the key milestones in achieving the European Commission's sustainability goals. A key objective is to reduce the use of resources in order to reduce global emissions. Early validation of products is one way to reduce the need for late rework or modification of equipment, which in turn reduces the use of resources. It also has the benefit of reducing costs and the time-to-market, as late product changes require more resources and time. This is especially challenging for complex systems, where interconnects are often difficult to identify. For this reason, many companies use systems engineering as a design method to collaborate on products across departments and disciplines. Early validation and systems engineering are usually used separately, but research shows that the combination can provide an advantage in development, so a basis for linking them and further research needs to be identified. In this paper, a systematic literature review was conducted to identify approaches for early validation and systems engineering. It also examined the suitability of using these approaches in combination for product development and design of intelligent systems. This resulted in 49 potential methods being identified and evaluated according to requirements of the industry. They are discussed based on a concrete example in special purpose machinery in the production context of complex intelligent systems. © 2024 Copyright held by the owner/author(s).

关键词： Large scale systems

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Container Pre-marshalling Problem Minimizing CV@R under Uncertainty of Ship Arrival Times

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Journal of Japan Industrial Management Association 2025年第4 E期75卷 172-182页

作者： Ikuma, Daiki Ikeda, Shunnosuke Sukegawa, Noriyoshi Takano, Yuichi Graduate School of Science and Technology University of Tsukuba Japan Department of Advanced Sciences Hosei University Japan Institute of Systems and Information Engineering University of Tsukuba Japan

This paper is concerned with the container pre-marshalling problem, which involves relocating containers in the storage area so that they can be efficiently loaded onto ships without reshuffles. In reality, however, ship arrival times are affected by various external factors, which can cause the order of container retrieval to be different from the initial plan. To represent such uncertainty, we generate multiple scenarios from a multivariate probability distribution of ship arrival times. We derive a mixed-integer linear optimization model to find an optimal container layout such that the conditional value-at-risk is minimized for the number of misplaced containers responsible for reshuffles. Moreover, we devise an exact algorithm based on the cutting-plane method to handle large-scale problems. Numerical experiments using synthetic datasets demonstrate that our method can produce high-quality container layouts compared with the conventional robust optimization model. Additionally, our algorithm can speed up computations for solving large-scale problems. © 2025 Japan Industrial Management Association. All rights reserved.

关键词： Mixed-integer linear programming

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Integrating Friction Noise for In Situ Monitoring of Polymer Wear Performance: A Machine Learning Approach in Tribology

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Journal of Tribology 2025年第6期147卷 061701页

作者： Chen, Shengshan Cheng, Ganlin Guo, Fei Jia, Xiaohong Wen, Xiaohao State Key Laboratory of Tribology in Advanced Equipment Tsinghua University Beijing100084 China Macau Institute of Systems Engineering Macau University of Science and Technology 999078 China

Friction and wear between mating surfaces significantly affect the efficiency and performance of mechanical systems. Traditional tribological research relies on post-observation methods, limiting the understanding of dynamic friction behavior. In contrast, in situ monitoring provides real-time insights into evolving friction dynamics. This study employs machine learning to monitor polymer wear performance through friction noise. The predictive accuracy of various machine learning methods, including Extremely Randomized Trees, Gradient-Boosting Decision Trees, AdaBoost, LightGBM, Deep Forest, and Deep Neural Networks, is compared for wear-type classification. Additionally, the LSBoost regression is selected as the optimal method for predicting polymer wear-rates across various temperatures. The results underscore the potential of using friction noise and machine learning for real-time wear monitoring, offering valuable insights for tribological system maintenance and failure prediction. © 2024 by ASME.

关键词： Tribology

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Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network

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IEEE Transactions on Biomedical engineering 2025年第5期72卷 1655-1664页

作者： Antonacci, Yuri Bara, Chiara Sparacino, Laura Pirovano, Ileana Mastropietro, Alfonso Rizzo, Giovanna Faes, Luca University of Palermo Department of Engineering Palermo90133 Italy University of Palermo Department of Engineering Italy National Research Council Institute of Biomedical Technology Italy National Research Council Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing Italy

Objective: Understanding brain dynamics during motor tasks is a significant challenge in neuroscience, often limited to studying pairwise interactions. This study provides a comprehensive hierarchical characterization of node-specific, pairwise and higher-order interactions within the human brain's motor network during handgrip task execution. Methods: The brain source activity was reconstructed from scalp EEG signals of ten healthy subjects performing a motor task, identifying five brain regions within the contralateral and ipsilateral motor networks. Using the spectral entropy rate as the basis for the decomposition of dynamic information in the alpha and beta frequency bands, we assessed the predictability of the individual rhythms within each brain region, the information shared between the activity of pairs of regions, and the higher-order interactions among groups of signals from more than two regions. Results: An overall decrease in hierarchical interactions at different orders within the motor network was observed during motor task execution. In addition to an increase in the predictability of single-source dynamics and a decrease in the strength of pairwise interactions, a statistically significant reduction in redundancy between brain sources was found. These changes primarily affected the dynamics of the alpha frequency band, driven by the well-known sensorimotor mu rhythm. Conclusions and Significance: This work emphasizes the importance of examining hierarchically-organized brain source interactions in the frequency domain using a unified framework which fully captures the complex dynamics of the motor network. © 1964-2012 IEEE.

关键词： Redundancy

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Fabrication-Tolerant High-Speed 5-Bit Silicon Optical True Time Delay Line in the O-Band

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Journal of Lightwave Technology 2025年第9期43卷 4358-4366页

作者： Ni, Ziheng Lu, Liangjun Wang, Yixuan Liu, Yuanbin Chen, Jianping Zhou, Linjie Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Key Lab of Navigation and Location Services Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China

Fast reconfiguration time on the order of nanoseconds is crucial for microwave photonic beamformers, particularly in 5G/6G wireless communication systems. Most previously reported integrated optical true time delay lines (OTTDLs) exhibit a slow response time of tens of microseconds. In this study, we demonstrate an O-band high-speed 5-bit silicon OTTDL based on fabrication-tolerant electro-optic push-pull optical switches, which exhibit lower phase deviation and reduced insertion loss compared to conventional designs. The rising and falling times are 9 ns and 11 ns for the electro-optic switching, respectively. The insertion loss and crosstalk of our fabrication-tolerant high-speed switch element are 0.66 dB (0.74 dB) and −25.09 dB (−27.41 dB) at the bar (cross) state, respectively, at the wavelength of 1310 nm. For the 5-bit OTTDL, the initial phase variation is only ∼0.10π, which is one-sixth of that observed in the conventional design. Additionally, our proposed OTTDL features a low fiber-to-fiber insertion loss of 8.72 dB and a delay tuning range of 0-313.9 ps. The high-performance, fabrication-tolerant OTTDLs hold significant promise for future applications in fast beamforming. © 1983-2012 IEEE.

关键词： Fiber to the x

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Bioinspired Sensing of Undulatory Flow Fields Generated by Leg Kicks in Swimming

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IEEE Transactions on Automation Science and engineering 2025年 22卷 13895-13906页

作者： Wang, Jun Shen, Tongsheng Zhao, Dexin Zhang, Feitian Peking University State Key Laboratory of Turbulence and Complex Systems College of Engineering Department of Advanced Manufacturing and Robotics Beijing100871 China National Innovation Institute of Defense Technology Beijing100071 China

The artificial lateral line (ALL) is a bioinspired flow sensing system for underwater robots, comprising of distributed flow sensors. The ALL has been successfully applied to detect the undulatory flow fields generated by body undulation and tail-flapping of bioinspired robotic fish. However, its feasibility and performance in sensing the undulatory flow fields produced by human leg kicks during swimming have not been systematically tested and studied. This paper presents a novel sensing framework to investigate the undulatory flow field generated by swimmer’s leg kicks, leveraging bioinspired ALL sensing. To evaluate the feasibility of using the ALL system for sensing the undulatory flow fields generated by swimmer leg kicks, this paper designs an experimental platform integrating an ALL system and a lab-fabricated human leg model. To enhance the accuracy of flow sensing, this paper proposes a feature extraction method that dynamically fuses time-domain and time-frequency characteristics. Specifically, time-domain features are extracted using one-dimensional convolutional neural networks and bidirectional long short-term memory networks (1DCNN-BiLSTM), while time-frequency features are extracted using short-term Fourier transform and two-dimensional convolutional neural networks (STFT-2DCNN). These features are then dynamically fused based on attention mechanisms to achieve accurate sensing of the undulatory flow field. Furthermore, extensive experiments are conducted to test various scenarios inspired by human swimming, such as leg kick pattern recognition and kicking leg localization, achieving satisfactory results. © 2004-2012 IEEE.

关键词： Long short-term memory

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Experimental Study of Mode Transition in a Cavity-based Dual-Mode Scramjet Combustor

Experimental Study of Mode Transition in a Cavity-based Dual...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Dolnik, Alexander Kaner, Rudy Michaels, Dan Saraf, Shimon Faculty of Aerospace Engineering Technion—Israel Institute of Technology Haifa32000 Israel Rafael Advanced Defense Systems Ltd. Israel

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This study aims to understand the governing parameters and dynamic combustion behavior during the scramjet-ramjet transition in a dual-mode scramjet with a cavity flame holder. The study is conducted on a water-cooled dual-mode scramjet combustor, enabling relatively long experiments to achieve the transition at a quasi-steady state when the thermal balance between the reacting flow and combustor walls is achieved. The combustor also incorporates a long isolator that can sustain the whole length of the shock train and enable studying the isolator-combustor interaction during the combustion mode transition. This transition process is experimentally investigated by measuring the static pressure along the walls and CH* chemiluminescence imaging. The fuel used in this study is a mixture of ethylene and methane at different mixture ratios. The main emphasis is on the flame stabilization dynamics before, during, and after the mode transition. The paper provides insight into the effect of equivalence ratio and fuel composition on the flame stabilization modes and operation mode transition. It is shown that the transition in flame stabilization mode due to a change in equivalence ratio or fuel composition (cavity shear layer vs. jet wake) is accompanied by operation mode transition (scramjet mode vs. ramjet mode). © 2025, American institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Combustors

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