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IEEE International Conference on Robotics and Automation (ICRA)

作者： Tong Yang Li Huang Yue Wang Rong Xiong State Key Laboratory of Industrial Control and Technology Zhejiang University Hangzhou China Institute of Advanced Digital Technologies and Instrumentation Zhejiang University Hangzhou China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

A novel algorithm to solve the 2D k-shortest non-homotopic path planning (k-SNPP) task is proposed in this paper. The task is of practical significance as a sub-module for higherlevel planning and scheduling tasks, and is gaining increasing attention and focus in recent years. There have existed algorithms that explicitly characterised non-homotopic paths using topological invariants such as ℎ-signature and winding number. However, these algorithms are inefficient due to their separate treatment of topology and geometry: Topological invariants are singularly utilised for distinguishing non-homotopic property among paths, which significantly increases the volume of the robot configuration space. Meanwhile, distance-optimal path planners search for locally shortest paths in the augmented space, which becomes extremely time-consuming. In this paper, a topological tree is proposed to simultaneously leverage topology and geometry. The tree grows from the starting location and explores all topological routes, until the best k of its leaves reach the goal. It is proven that different branches of the tree explore different homotopy classes of paths, and all the branches are locally shortest. Comparative experiments for k-SNPP are conducted in challenging grid-based simulated environments to validate the performance of the proposed algorithm. The C++ implementation of the proposed algorithm is released for the benefit of the robotics community.

关键词： Geometry Windings C++ languages Path planning Topology Planning Task analysis

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A Switched Model Predictive control with Parametric Weights-Based Mode Transition Strategy for a Novel Parallel Hybrid Electric Vehicle

SSRN

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SSRN 2024年

作者： Hu, Julin He, Hongwen Wang, Zexing Ji, Shuang Duan, Zhihui National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology Beijing China National New Energy Vehicle Technology Innovation Center Beijing China

In a novel parallel hybrid electric vehicle (HEV) configuration, the transition from pure electric mode to hybrid mode encompasses critical operations such as engine startup, coordinated control of motor and engine torque, and engagement of the clutch. Addressing the intricate challenges associated with enhancing speed tracking performance during and after mode transition, mitigating jerk during mode transition, and minimizing mode transition time, this paper conducts a meticulous analysis of the vehicle configuration and mode transition process. The mode transition process is systematically delineated into four stages, with each stage characterized by the establishment of dynamic models. Subsequently, a mode transition strategy is proposed, leveraging switched model predictive control with parametric weights (SMPC-PW). This controller framework includes the design of two model predictive controllers (MPC) tailored for two pivotal stages, the formulation of a parametric weights pattern based on pre-transition acceleration, and the development of a stage switching strategy to ensure seamless switches between controllers. The efficacy of the proposed strategy is validated through co-simulations in the Simulink and GT-Power environment. The fine-tuning of MPC parameters is grounded in multiple sets of prediction horizons and sampling time simulation results. In comparison to strategies based on MPC and PID under various acceleration scenarios, the SMPC-PW strategy consistently maintains acceleration control below 10 m/s3. It not only achieves superior speed tracking during and after mode transition but also reduces mode switch time by 0.1 s-0.3 s. These compelling results unequivocally demonstrate that the proposed mode transition strategy significantly elevates the quality of mode transition for this specific parallel HEV configuration. © 2024, The Authors. All rights reserved.

关键词： Model predictive control

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Genomic and metabolomic insights into the selection and differentiation of bioactive compounds in citrus

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Molecular Plant 2024年第11期17卷 1753-1772页

作者： Xiao Liang Yue Wang Wanxia Shen Bin Liao Xiaojuan Liu Zimeng Yang Jiebiao Chen Chenning Zhao Zhenkun Liao Jinping Cao Ping Wang Peng Wang Fuzhi Ke Jianguo Xu Qiong Lin Wanpeng Xi Lishu Wang Juan Xu Xiaochun Zhao Chongde Sun Plant Growth Development and Quality ImprovementZhejiang Provincial Key Laboratory of Integrative Biology of Horticultural PlantsZhejiang UniversityHangzhouChina Citrus Research Institute Southwest University/Chinese Academy of Agricultural SciencesChongqingChina Hainan Institute of Zhejiang University SanyaChina Zhejiang Citrus Research Institute TaizhouChina Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process Ministry of Agriculture and Rural Affairs/Institute of Food Science and TechnologyChinese Academy of Agricultural SciencesBeijingChina College of Horticulture and Landscape Architecture Southwest UniversityChongqingChina Department of Hematology and Hematopoietic Cell Transplantation Comprehensive Cancer CenterCity of Hope National Medical CenterDuarteCAUSA Key Laboratory of Horticultural Plant Biology(Ministry of Education) Huazhong Agricultural UniversityWuhanChina

Bioactive compounds play an increasingly prominent role in breeding functional and nutritive fruit crops such as ***,the genomic and metabolic bases for the selection and differentiation underlying bioactive compound variations in citrus remain poorly *** this study,we constructed a species-level variation atlas of genomes and metabolomes using 299 citrus accessions.A total of 19829 significant SNPs were targeted to 653 annotated metabolites,among which multiple significant signals were identified for secondary metabolites,especially *** differential accumulation of bioactive compounds in the phenylpropane pathway,mainly flavonoids and coumarins,was unveiled across ancestral citrus species during differentiation,which is likely associated with the divergent haplotype distribution and/or expression profiles of relevant genes,including p-coumaroyl coenzyme A 2′-hydroxylases,flavone synthases,cytochrome P450 enzymes,prenyltransferases,and uridine diphosphate ***,we systematically evaluated the beneficial bioactivities such as the antioxidant and anticancer capacities of 219 citrus varieties,and identified robust associations between distinct bioactivities and specific ***,these findings provide citrus breeding options for enrichment of beneficial flavonoids and avoidance of potential risk of *** study will accelerate the application of genomic and metabolic engineering strategies in developing modern healthy citrus cultivars.

关键词： citrus metabolome genome-wide association study bioactive compounds

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Thermal decomposition kinetics and mechanism investigation of cumene hydroperoxide under inert gas: A novel experimental method

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process Safety and Environmental Protection 2023年 172卷 408-416页

作者： Yu, Chang-Fei Liu, Shang-Hao Yuan, Liang Wei, Dan-Dan Key Laboratory of Industrial Dust Control and Occupational Health Ministry of Education Anhui University of Science and Technology 168 Taifeng Street HuainanAnhui232001 China Department of Chemical and Materials Engineering National Yunlin University Science and Technology 123 University Rd. Sec. 3 DouliouYunlin64002 Taiwan State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and Technology 168 Taifeng Street HuainanAnhui232001 China Coal Mining National Engineering Technology Research Institute 168 Taifeng Street HuainanAnhui232001 China School of Safety Science and Engineering Anhui University of Science and Technology 168 Taifeng Street HuainanAnhui232001 China

Organic peroxides, due to temperature manipulation failure and/or manner disturbances, had been probable to lead to the prevalence of runaway phenomena, even fire, and explosion. Cumene hydroperoxide (CHP), is a traditional liquid organic peroxide for industrial purposes and is applied as a free radical initiator for polymerization reactions in the petrochemical industry. Its utilization in the industrial processes had certain potential safety hazards. In this work, linearly ramped thermal decomposition in CHP was performed using differential scanning calorimetry under a nitrogen atmosphere. Kinetic analysis is made using data from the ramped measurements with two integral strategies (Flynn-Wall-Ozawa and Kissinger-Akahira-Sunose). The gaseous products of thermal decomposition in CHP are investigated via thermal gravimetric evaluation coupled with Fourier transform infrared spectroscopy and gas chromatography/mass spectrometry. Combined with the experimental results, the possible decomposition path of CHP is discussed. This makes up the gap of unclear decomposition mechanism of CHP in inert atmosphere, and has important reference significance for its industrial production and application. © 2023

关键词： Thermolysis

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Wavelet Function Based Spectral Model Calibration for Measuring Crystallization Solution via ATR-FTIR Spectroscopy 11

Wavelet Function Based Spectral Model Calibration for Measur...

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Pei, Xiaojing Liu, Tao Liu, Jingxiang Hao, Shoulin Yang, Siwei Dalian University of Technology Ministry of Education Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Dalian116024 China Institute of Advanced Control Technology Dalian University of Technology Dalian116024 China School of Marine Electrical Engineering Dalian Maritime University Dalian116026 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

For measuring the solution concentration of crystallization process by ATR-FTIR spectroscopy, this paper proposes an improved spectral model calibration method to guarantee in-situ measurement accuracy, based on wavelet function regression. The spectral model structure is composed of wavelet basis functions, which could address the nonlinear properties and high-dimensional problem of infrared spectral variables. Moreover, the mean centralization strategy is taken to reduce the influence from measurement noise. In addition, a comparative study on measuring the solution concentration of the L-glutamic acid (LGA) crystallization process is conducted in terms of using different modeling methods and spectral variables. It is found that the wavelet function regression with all spectral variables could obtain good measurement accuracy compared to the traditional partial least-squares (PLS) method. Experimental results well demonstrate the measurement accuracy of the proposed spectral calibration method. © 2022 IEEE.

关键词： Fourier transform infrared spectroscopy

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Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules

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Protection and control of Modern Power Systems 2021年第1期6卷 407-418页

作者： Yingying Zhao Aimin An Yifan Xu Qianqian Wang Minmin Wang College of Electrical and Information Engineering Lanzhou University of TechnologyLanzhou730050GansuChina Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou730050GansuChina National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of TechnologyLanzhou730050GansuChina

Because of system constraints caused by the external environment and grid faults,the conventional maximum power point tracking(MPPT)and inverter control methods of a PV power generation system cannot achieve optimal power *** can also lead to misjudgments and poor dynamic *** address these issues,this paper proposes a new MPPT method of PV modules based on model predictive control(MPC)and a finite control set model predictive current control(FCS-MPCC)of an *** the identification model of PV arrays,the module-based MPC controller is designed,and maximum output power is achieved by coordinating the optimal combination of spectral wavelength and module *** FCS-MPCC algorithm is then designed to predict the inverter current under different voltage vectors,the optimal voltage vector is selected according to the optimal value function,and the corresponding optimal switching state is applied to power semiconductor devices of the *** MPPT performance of the MPC controller and the responses of the inverter under different constraints are verified,and the steady-state and dynamic control effects of the inverter using FCS-MPCC are compared with the traditional feedforward decoupling PI control in Matlab/*** results show that MPC has better tracking performance under constraints,and the system has faster and more accurate dynamic response and flexibility than conventional PI control.

关键词： Grid-connected PV power generation system Model predictive control Maximum power point tracking Inverter Optimal value function

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RBFNN-Based ADRC Design for Continuous-Time Systems with Unknown Nonlinear Dynamics Subject to Time-Varying Disturbance

RBFNN-Based ADRC Design for Continuous-Time Systems with Unk...

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Chinese control Conference (CCC)

作者： Shuai Yan Shoulin Hao Haichen Yu Tao Liu Bin Yan Yihui Gong Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China Institute of Advanced Control Technology Dalian University of Technology Dalian China

In this paper, a radial basis function neural network (RBFNN) based active disturbance rejection control (ADRC) scheme is proposed for continuous-time systems with unknown nonlinear dynamics and time-varying disturbance. By using RBFNN to online approximate the unknown nonlinear dynamics, a novel nonlinear extended state observer (ESO) is firstly designed to estimate the total disturbance consisting of time-varying external disturbance and RBFNN approximation error. Then, an anti-disturbance feedback control law together with a tracking differentiator is designed to counteract the total disturbance in a feedforward manner. The bounded convergence of the closed-loop system and ESO as well as the estimation errors of the weighting vector are rigorously analyzed based on the Lyapunov stability theory. A case study is carried out to demonstrate the effectiveness and merit of the proposed design, in contrast to the conventional ADRC.

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Geographical origin identification of winter jujube(Ziziphus jujuba Dongzao')by using multi-element fingerprinting with chemometrics

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Journal of Integrative Agriculture 2024年第5期23卷 1749-1762页

作者： Xiabing Kong Qiusheng Chen Min Xu Yihui Liu Xiaoming Li Lingxi Han Qiang Zhang Haoliang Wan Lu Liu Xubo Zhao Jiyun Nie College of Horticulture Qingdao Agricultural University/Laboratory of Quality&Safety Risk Assessment for Fruit(Qingdao)Ministry of Agriculture and Rural Affairs/National Technology Centre for Whole Process Quality Control of FSEN Horticultural Products(Qingdao)/Qingdao Key Lab of Modern Agriculture Quality and Safety EngineeringQingdao 266109China Institute of Agricultural Product Quality Safety and NutritionTianjin Academy of Agricultural SciencesTianjin 300381China College of Food Science and Engineering Northwest A&F UniversityYangling 712100China

Winter jujube(Ziziphus jujuba'Dongzao')is greatly appreciated by consumers for its excellent quality,but brand infringement frequently occurs in the ***,we first determined a total of 38 elements in 167 winter jujube samples from the main winter jujube producing areas of China by inductively coupled plasma mass spectrometer(ICP-MS).As a result,16 elements(Mg,K,Mn,Cu,Zn,Mo,Ba,Be,As,Se,Cd,Sb,Ce,Er,Tl,and Pb)exhibited significant differences in samples from different producing *** linear discriminant analysis(LDA)and orthogonal projection to latent structures discriminant analysis(OPLS-DA)showed better performance in identifying the origin of samples than unsupervised principal component analysis(PCA).LDA and OPLS-DA had a mean identification accuracy of 87.84 and 94.64%in the testing set,*** using the multilayer perceptron(MLP)and C5.0,the prediction accuracy of the models could reach 96.36 and 91.06%,*** on the above four chemometric methods,Cd,Tl,Mo and Se were selected as the main variables and principal markers for the origin identification of winter ***,this study demonstrates that it is practical and precise to identify the origin of winter jujube through multi-element fingerprint analysis with chemometrics,and may also provide reference for establishing the origin traceability system of other fruits.

关键词： winter jujube multi-element fingerprint analysis chemometrics origin traceability

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Damage detection of cylindrical structural steels based on finite element analysis 5

Damage detection of cylindrical structural steels based on f...

引用

5th International Conference on Informatics Engineering and Information Science, ICIEIS 2022

作者： Huang, Ling Xu, Zi Jian Yuan Wei, X. Wang, Gang College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou730050 China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou730050 China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou730050 China

ISBN: (纸本)9781510660090

In this paper, the ultrasonic transmission process and damage detection in rod structure are experimentally studied. In the finite element simulation, according to the nonlinear interaction between the different Lamb wave excitation signals and the fixed size crack on the rod, the signal mechanism is analyzed and how to locate the damage signal is explained. The fatigue crack evolution of rod assembly is further tested by experimental method. It is consistent with the simulation results. It is found that the ultrasonic guided wave signal with excitation is very sensitive to cracks. Finite element analysis and excitation signals can be used as potential methods for quantitative evaluation of cracks in metal parts. The results of this study provide a basis for modeling and simulation using finite element in the field of nondestructive evaluation and structural health monitoring © 2022 SPIE.

关键词： Finite element method

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Direct Regeneration of Spent Lithium-Ion Battery Cathodes:From Theoretical Study to Production Practice

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Nano-Micro Letters 2024年第10期16卷 304-336页

作者： Meiting Huang Mei Wang Liming Yang Zhihao Wang Haoxuan Yu Kechun Chen Fei Han Liang Chen Chenxi Xu Lihua Wang Penghui Shao Xubiao Luo National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization Nanchang Hangkong UniversityNanchang 330063People's Republic of China Key Laboratory of Hunan Province for Advanced Carbon-based Functional Materials School of Chemistry and Chemical EngineeringHunan Institute of Science and TechnologyYueyang 414006People's Republic of China College of Materials Science and Engineering Central South University of Forestry and TechnologyChangsha 410004People's Republic of China School of Life Science Jinggangshan UniversityJi'an 343009People's Republic of China

Direct regeneration method has been widely concerned by researchers in the field of battery recycling because of its advantages of in situ regeneration,short process and less pollutant *** this review,we firstly analyze the primary causes for the failure of three representative battery cathodes(lithium iron phosphate,layered lithium transition metal oxide and lithium cobalt oxide),targeting at illustrating their underlying regeneration mecha-nism and *** stripping of material from the collector to obtain pure cathode material has become a first challenge in recycling,for which we report several pretreatment methods currently available for subsequent regeneration *** review and discuss emphatically the research progress of five direct regeneration methods,including solid-state sintering,hydrothermal,eutectic molten salt,electrochemical and chemical lithiation ***,the application of direct regeneration technology in production practice is introduced,the problems exposed at the early stage of the industrialization of direct regeneration technol-ogy are revealed,and the prospect of future large-scale commercial production is *** is hoped that this review will give readers a comprehensive and basic understanding of direct regeneration methods for used lithium-ion batteries and promote the industrial application of direct regeneration technology.

关键词： Spent LIBs Failure reasons Cathode recycling Direct regeneration Production practice

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