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Sensitivity to external optical feedback of circular-side hexagonal resonator microcavity laser

Chinese Physics B 2021年第12期30卷 74-80页

作者： Tong Zhao Zhi-Ru Shen Wen-Li Xie Yan-Qiang Guo An-Bang Wang Yun-Cai Wang Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi ProvinceTaiyuan University of TechnologyTaiyuan 030024China College of Physics and Optoelectronics Taiyuan University of TechnologyTaiyuan 030024China Guangdong Provincial Key Laboratory of Photonics Information Technology Guangzhou 510006China School of Information Engineering Guangdong University of TechnologyGuangzhou 510006China

The sensitivity to fault reflection is very important for larger dynamic range in fiber fault detection *** time delay signature(TDS)of chaotic laser formed by optical feedback can solve the sensitivity limitation of photodetector in fiber fault *** TDS corresponds to the feedback position and the fault reflection can be detected by the laser *** sensitivity to feedback level of circular-side hexagonal resonator(CSHR)microcavity laser is numerically simulated and the feedback level boundaries of each output dynamic state are *** peak level of TDS is utilized to analyze the *** demonstration is presented in two aspects:the minimum feedback level when the TDS emerges and the variation degree of TDS level on feedback level *** results show that the CSHR microcavity laser can respond to the feedback level of 0.07%,corresponding to-63-dB feedback *** to conventional distributed feedback laser,the sensitivity improves almost 20 dB due to the shorter internal cavity length of CSHR microcavity ***,1%feedback level changing will induce 1.001 variation on TDS level,and this variation degree can be influenced by other critical internal parameters(active region side length,damping rate,and linewidth enhancement factor).

关键词： sensitivity optical feedback microcavity laser nonlinear dynamic

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Resilience-Oriented Power Transmission system Restoration Considering Cyber and Physical Equipment Damage Based on Monte Carlo Tree Search and Milp

SSRN

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SSRN 2024年

作者： Sun, Runjia Liu, Yutian Gu, Xueping Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China Department of Electrical Engineering North China Electric Power University Baoding071003 China

Efficient power transmission system restoration after natural disasters contributes to power system resilience enhancement and reliable power energy supply. The destruction of cyber and physical equipment caused by natural disasters leads to complex and unpredictable power outages. To deal with power outages with cyber and physical equipment damage, an online collaborative decision-making method coordinating damage repair and restoration dispatch is proposed for rapid power transmission system restoration. Reinforcement learning and mathematical programming are combined to realize domain knowledge-guided intelligent search for effective decision-making. Firstly, a collaborative decision-making framework is established to guide online coordination between damage repair and restoration dispatch for the unified goal of resilience enhancement. Secondly, to make damage repair plans based on real-time information, an online decision-making method combining Monte Carlo tree search with mixed-integer linear programming is proposed considering the influence of damage repair on restoration dispatch. Thirdly, to make restoration dispatch plans based on real-time information, model predictive control is adopted for online rolling optimization of restoration dispatch, which considers the change of cyber and physical equipment status caused by damage repair. Finally, simulation results of the New England 10-unit 39-bus test system and a practical transmission system in China demonstrate that the collaborative decision-making method can make power transmission system restoration plans by juggling the restoration efficiency and computation speed and deal with uncertain repair emergencies by online step-by-step decision-making. © 2024, The Authors. All rights reserved.

关键词： Restoration

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Group-based multiple pipe routing method for aero-engine focusing on parallel layout

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Frontiers of Mechanical engineering 2021年第4期16卷 798-813页

作者： Hexiang YUAN Jiapeng YU Duo JIA Qiang LIU Hui MA School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion System(Ministry of Education) Northeastern UniversityShenyang 110819China Shenyang Engine Research Institute of AECC Shenyang 110015China School of Information and Control Engineering Liaoning Petrochemical UniversityFushun 113001China

External pipe routing for aero-engine in limited three-dimensional space is a typical nondetermini-stic polynomial hard problem,where the parallel layout of pipes plays an important role in improving the utilization of layout space,facilitating pipe assembly,and *** paper presents an automatic multiple pipe routing method for aero-engine that focuses on parallel *** compressed visibility graph construction algorithm is proposed first to determine rapidly the rough path and interference relationship of the pipes to be *** on these rough paths,the information of pipe grouping and sequencing are obtained according to the difference degree and interference degree,***,a coevolutionary improved differential evolution algorithm,which adopts the coevolutionary strategy,is used to solve multiple pipe layout optimization *** using this algorithm,pipes in the same group share the layout space information with one another,and the optimal layout solution of pipes in this group can be obtained in the same evolutionary ***,to eliminate the minor angle deviation of parallel pipes that would cause assembly stress in actual assembly,an accurate parallelization processing method based on the simulated annealing algorithm is ***,the simulation results on an aero-engine demonstrate the feasibility and effectiveness of the proposed method.

关键词： multiple pipe routing optimization algorithm aero-engine pipe grouping parallel layout

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A Data-Driven Based Blind Path Recognizing and Tracking control Strategy for a Guided Quadruped Robot

A Data-Driven Based Blind Path Recognizing and Tracking Cont...

引用

Data Driven control and Learning systems (DDCLS)

作者： Shida Liu Yunlong Sun Honghai Ji Li Wang School of Electrical and Control Engineering North China University of Technology Beijing People's Republic of China Key Laboratory of Marine Intelligent Unmanned Swarm Technology and System (Shanghai University) Ministry of Education

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

This study addresses the motion control issues of a guiding quadruped robot and proposes a novel data-driven approach for blind path recognition and tracking. The proposed approach consists of two parts, including blind path recognition and robot tracking control. In terms of visual principles, the guiding quadruped robot identifies blind paths based on color using the Otsu threshold segmentation algorithm, combined with Canny edge detection and Hough transform for precise positioning of the blind path. Next, this study presents a model-free adaptive control method utilizing a dynamic linearization technique to follow the identified blind path. The controller is configured with a pseudo partial derivative (PPD) parameter. The proposed method enables accurate recognition and tracking of blind paths by the robot, thereby achieving precise following of blind paths by the guiding quadruped robot. The control aspect of the proposed method relies on a model-free strategy, eliminating the requirement to establish an exact mathematical model of the guiding robot during the controller design process. Instead, the controller can be achieved solely using input and output data of the robot. The proposed method was applied to a real guiding quadruped robot experimental platform, and the experimental results demonstrated a 96.24% accuracy in blind path recognition and an average deviation angle of 0.17 degree in tracking control. The effectiveness of this approach has been validated.

关键词： Visualization Accuracy Tracking Robot control Process control Transforms Mathematical models

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Flexible Active Safety Motion control for Robotic Obstacle Avoidance: A CBF-Guided MPC Approach

arXiv

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arXiv 2024年

作者： Liu, Jinhao Yang, Jun Mao, Jianliang Zhu, Tianqi Xie, Qihang Li, Yimeng Wang, Xiangyu Li, Shihua The School of Automation The Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing210096 China Department of Aeronautical and Automotive Engineering Loughborough University LoughboroughLE11 3TU United Kingdom The College of Automation Engineering Shanghai University of Electric Power Shanghai200090 China

A flexible active safety motion (FASM) control approach is proposed for the avoidance of dynamic obstacles and the reference tracking in robot manipulators. The distinctive feature of the proposed method lies in its utilization of control barrier functions (CBF) to design flexible CBF-guided safety criteria (CBFSC) with dynamically optimized decay rates, thereby offering flexibility and active safety for robot manipulators in dynamic environments. First, discrete-time CBFs are employed to formulate the novel flexible CBFSC with dynamic decay rates for robot manipulators. Following that, the model predictive control (MPC) philosophy is applied, integrating flexible CBFSC as safety constraints into the receding-horizon optimization problem. Significantly, the decay rates of the designed CBFSC are incorporated as decision variables in the optimization problem, facilitating the dynamic enhancement of flexibility during the obstacle avoidance process. In particular, a novel cost function that integrates a penalty term is designed to dynamically adjust the safety margins of the CBFSC. Finally, experiments are conducted in various scenarios using a Universal Robots 5 (UR5) manipulator to validate the effectiveness of the proposed approach. Copyright © 2024, The Authors. All rights reserved.

关键词： Model predictive control

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Wheel Hub Automatic Production system Based on Industrial Robots 7

Wheel Hub Automatic Production System Based on Industrial Ro...

引用

2021 7th International Conference on Manufacturing Technology and Applied Materials, ICAMMT 2021

作者： Zhang, Bin Lu, Zongxue Wang, Qiang Cui, Shiyi Jia, Guangxin Yang, Jun School of Automation Southeast University 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Lianyungang Jari Automation CO. LTD. Lianyungang222006 China

In this thesis, a control system for a wheel hub machining line based on a Fanuc robot, which includes adopting Siemens 300PLC as the main control unit, performing wheel circumferential positioning and center correction based on vision technology, and controlling the machine tool to perform real-time tool compensation based on the measured data, is researched and designed to achieve fully automatic unmanned wheel processing. © Published under licence by IOP Publishing Ltd.

关键词： Wheels

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Generalized-Extended-State-Observer and Equivalent-Input-Disturbance Methods for Active Disturbance Rejection: Deep Observation and Comparison

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 957-968页

作者： Jinhua She Kou Miyamoto Qing-Long Han Min Wu Hiroshi Hashimoto Qing-Guo Wang School of Engineering Tokyo University of TechnologyHachiojiTokyo 192-0982Japan K.Miyamoto is with the Institute of Technology Shimizu CorporationKotoTokyo 135-0044Japan School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia School of Automation China University of GeosciencesWuhan 430074 Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China School of Industrial Technology Advanced Institute of Industrial TechnologyTokyo 140-0011Japan Institute of Artificial Intelligence and Future Networks Beijing Normal UniversityZhuhai 519087 Guangdong Key Lab of AI and Multi-Modal Data Processing Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science BNUHKBU United International College Zhuhai 519087China

Active disturbance-rejection methods are effective in estimating and rejecting disturbances in both transient and steady-state *** paper presents a deep observation on and a comparison between two of those methods:the generalized extended-state observer(GESO)and the equivalent input disturbance(EID)from assumptions,system configurations,stability conditions,system design,disturbance-rejection performance,and extensibility.A time-domain index is introduced to assess the disturbance-rejection performance.A detailed observation of disturbance-suppression mechanisms reveals the superiority of the EID approach over the GESO method.A comparison between these two methods shows that assumptions on disturbances are more practical and the adjustment of disturbance-rejection performance is easier for the EID approach than for the GESO method.

关键词： Active disturbance-rejection control(ADRC) disturbance observer(DOB) equivalent input disturbance(EID) extendedstate observer(ESO) generalized extended-state observer(GESO)

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Operation Improvement of Garbage Power Plants - via control Technology 16th

Operation Improvement of Garbage Power Plants - via Contro...

引用

16th International Conference on Modelling, Identification and control, ICMIC 2024

作者： Cao, Guizhou Xia, Dawei Meng, Kai Zhu, Zheran Yuan, Jie Wu, Zhenlong State Grid Henan Electric Power Company Electric Power Research Institute Zhengzhou450052 China State Grid Shangqiu Electric Power Company Shangqiu476002 China State Grid Henan Electric Power Company Zhengzhou450018 China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China State Key Laboratory of Intelligent Agricultural Power Equipment Zhengzhou University Luoyang471000 China

ISBN: (纸本)9789819617760

This paper focuses on the operation improvement of garbage power plants, which are a key disposal technology for household waste, construction waste, etc. However, the low of the furnace temperature can cause a sharp increase in dioxins and result in consequences of severe environmental pollution. To enhance the control performance of the combustion system for garbage power plants, proportional-integral-derivative based on predictive (PID-predictive) and proportional-integral based on predictive (PI-predictive) controllers are designed for the combustion system, which is dominated by time delay. By equaling the desired dynamic characteristics and the closed-loop system combined with the combustion system and controller, the PID-predictive and PI-predictive can be designed. The comprehensive comparison of the tracking performance, disturbance rejection ability, measurement noise rejection performance and ability to handle system uncertainties is carried out with PI, active disturbance rejection control, delay active disturbance rejection control and Smith predictor active disturbance rejection control. Simulation results show that PID-predictive and PI-predictive obtain similar control performance, and have a faster tracking speed than other comparative controllers. The disturbance rejection ability of PID-predictive and PI-predictive is weaker than delay active disturbance rejection control and Smith predictor active disturbance rejection control, and is stronger than PI and active disturbance rejection control. When the controlled process has system uncertainties, PID-predictive and PI-predictive still obtain satisfactory control performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Disturbance rejection

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Informative Path Planning based on Global and Local Active Sensing for Environmental Field Mapping

Informative Path Planning based on Global and Local Active S...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Jiahui Li Bingyu Yang Kaibo Yang Teng Li School of Control Science and Engineering Shandong University Jinan China School of Statistics Beijing Normal University Zhuhai China Key Laboratory of Machine Intelligence and System Control Ministry of Education of the People's Republic of China Jinan China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Mobile robots can reconstruct environmental fields through active sensing and autonomous navigation, so as to achieve online environmental monitoring. Active sensing enables determine the target sampling location by exploiting the critical information in the target monitored environments. The key information for active sensing is commonly determined by the objective function based on environmental field statistics. In this paper, a novel global and local informative path planning method based on Gaussian process (GP) and multivariate conditional mutual information (MCMI) is proposed, which can achieve effective and reliable execution of information-based active sensing and path planning. Experimental results demonstrate the performance of the proposed method for robotic mobile sensing and environmental field mapping.

关键词： Gaussian processes Robot sensing systems Linear programming Path planning Sensors Mobile robots Reliability Environmental monitoring Biomedical monitoring Mutual information

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Bulk Quantification and Molecular Characterization of Thermal Decomposition from the Thermal Desorption of Organic Aerosol

ACS ES&T Air

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ACS ES&T Air 2024年第7期1卷 628-636页

作者： Qingfeng Guo Wei Hu Min Hu Yujue Wang Song Guo Zhijun Wu Jing Zheng Limin Zeng State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering International Joint Laboratory for Regional Pollution Control Ministry of Education (IJRC) Peking University Beijing 100871 China Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin 300072 China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing 210044 China Key Laboratory of Marine Environment and Ecology Ministry of Education of China Ocean University of China Qingdao 266100 China

The thermal desorption (TD) technique has been widely employed to measure the molecular composition and volatility of organic aerosols through coupling to mass spectrometry. Although the impact of thermal decomposition on TD instruments has been discussed in the literature, its extent has not yet been quantified. Here, we quantify the decomposition of organic aerosol at the bulk level and qualitatively distinguish between compounds evaporating and decomposing at the molecular level through the combination of online thermodenuder aerosol mass spectrometer (TD-AMS), offline organic carbon/elemental carbon (OC/EC) analyzer, and ultra-high resolution mass spectrometer. Results show that up to 56% of organic mass in ambient aerosol decomposes at a desorption temperature lower than 180 °C, which means that large amounts of organics cannot be detected by TD-coupled instruments. Sulfur-containing compounds with larger molecular masses exhibit weaker thermal stability, making them more susceptible to thermal decomposition than other compounds not containing sulfur. This work provides a means to obtain quantitative and qualitative insights into the thermal decomposition of organic aerosol, which will aid in understanding secondary organic aerosol (SOA) formation and reducing the gap between SOA measurements and model simulations.

关键词： Aerosols Desorption Organic compounds Organic reactions Thermodynamic properties

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