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第42届中国控制会议

作者： Yanfang Wang Bo Yue Shibei Xue Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China

Quantum trajectory can be viewed as a numerical simulation method for wavefunctions which consume smaller memories compared to density matrices in master equations. In this paper, we adopt quantum trajectory to simulate the evolution of a non-Markovian quantum system modeled by an augmented system and further use parallel computing to improve *** to the Lindblad master equation solver in QuTiP, it can run more efficiently using less memory. In the example of a8-spin-chain non-Markovian system, it only takes about 0.57% of the memory footprint and 4.12% of the runtime of the solver for the Lindblad master equation.

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Lateral-Longitudinal Prescribed-Time Cooperative control of Vehicles Subject to Wear and Road Disturbance

Lateral-Longitudinal Prescribed-Time Cooperative Control of ...

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第43届中国控制会议

作者： Qian Zhang Ge Guo College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation of Process Industries Northeastern University School of Control Engineering Northeastern University at Qinhuangdao

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper studies the lateral and longitudinal formation control issue of a collection of vehicles subject to wear and road disturbance.A novel prescribed-time disturbance observer is designed to estimate the unknown ***,based on the disturbance observer,an adaptive nonsingular vehicle formation control strategy is proposed to ensure the formation errors converge to a close neighborhood of origin in a prescribed time,which can be confirmed in advance by specifying several simple *** results validate the effectiveness of the presented control method.

关键词： Connected vehicles formation control disturbance observer prescribed time

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Adaptive Vibration Amplitude controller for Coriolis Mass Flowmeters Based on WHO-BP Neural Network

Adaptive Vibration Amplitude Controller for Coriolis Mass Fl...

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第43届中国控制会议

作者： Haiming Wang Lijun Sun Wei Wu Peilun Xie Xin Shao Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineer Tianjin University School of Intelligent Manufacturing Tianjin Sino-German University of Applied Sciences

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Based on traditional Proportional-Intergral(PI) vibration amplitude controllers, the Coriosis Mass Flowmeter(CMF)shows slow response and even stopping vibration under gas-liquid two-phase *** solve this problem, WHO-BP(Wild Horse Optimizer-Back propagation) adaptive controller is proposed in this paper. BP neural network is designed to adaptively adjust the parameters of PI controller. WHO is ued to find the optimal solution of the initial weight matrix of BP neural network to prevent vanishing gradient and exploding gradient. The effectiveness of the WHO-BP adaptive controller for improving the drive performance and measurement performance of CMF is verified by experimental and simulations results under gas-liquid two-phase flow conditions. Finally, not only the vibration amplitude stability and robustness of CMF as the flow pattern switching, but also the measurement accuracy under complex flow conditions are improved by proposed algorithm.

关键词： Coriolis Mass Flowmeter gas-liquid two-phase flow Wild Horse Optimizer BP neural network adaptive controller

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Progress in quantitative research on the relationship between atmospheric oxidation and air quality

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Journal of Environmental Sciences 2023年第1期123卷 350-366页

作者： Yuesi Wang Xin Jin Zirui Liu Gehui Wang Guiqian Tang Keding Lu Bo Hu Shanshan Wang Guohui Li Xinqin An Chao Wang Qihou Hu Lingyan He Fenfen Zhang Yuanhang Zhang State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China 3 State Key Joint Laboratory or Environmental Simul ation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Key Lab of Geophysical Information System of the Ministry of Education School of Geographic SciencesEast China Normal UniversityShanghai 200241China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3) Department of Environmental Science and EngineeringFudan UniversityShanghai 201203China Key Lab of Aerosol Chemistry and Physics State Key Laboratory of Loess and Quaternary GeologyInstitute of Earth EnvironmentChinese Academy of SciencesXi’an 710061China Institute of Atmospheric Composition and Environmental Meteorology Chinese Academy of Meteorological SciencesBeijing 100081China Key Lab of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China

Atmospheric oxidizing capacity(AOC)is an essential driving force of troposphere chemistry and self-cleaning,but the definition of AOC and its quantitative representation remain *** by national demand for air pollution control in recent years,Chinese scholars have carried out studies on theories of atmospheric chemistry and have made considerable progress in AOC *** paper will give a brief review of these ***,AOC indexes were established that represent apparent atmospheric oxidizing ability(AOIe)and potential atmospheric oxidizing ability(AOIp)based on aspects of macrothermodynamics and microdynamics,respectively.A closed study refined the quantitative contributions of heterogeneous chemistry to AOC in Beijing,and these AOC methods were further applied in Beijing-Tianjin-Hebei and key areas across the *** addition,the detection of ground or vertical profiles for atmospheric OH·,HO_(2)·,NO_(3)·radicals and reservoir molecules can now be obtained with domestic instruments in diverse ***,laboratory smoke chamber simulations revealed heterogeneous processes involving reactions of O_(3)and NO_(2),which are typical oxidants in the surface/interface atmosphere,and the evolutionary and budgetary implications of atmospheric oxidants reacting under multispecies,multiphase and multi-interface conditions were ***,based on the GRAPES-CUACE adjoint model improved by Chinese scholars,simulations of key substances affecting atmospheric oxidation and secondary organic and inorganic aerosol formation have been *** numerical simulations of AOIe and AOIp were performed,and regional coordination of AOC was *** optimized plan for controlling O_(3)and PM2.5was analyzed by scenario simulation.

关键词： Atmospheric oxidizing capacity(AOC) Quantitative index Free radicals Observation and modeling Air quality

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The rapidity of phase difference calculation algorithm of Coriolis Mass Flowmeter and its effect on measurement

The rapidity of phase difference calculation algorithm of Co...

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第43届中国控制会议

作者： Wei Wu Lijun Sun Haiming Wang Shuai Dong Xin Shao Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineer Tianjin University School of Intelligent Manufacturing Tianjin Sino-German University of Applied Sciences

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Coriolis Mass Flowmeter(CMF) is widely used in industrial and life *** the complexity of working conditions increase,the signal processing algorithm of CMF requires higher *** this paper,the performance of Complex Coefficient Filter(CCF),Quadrature Demodulation(QD) and Hilbert algorithms is compared in terms of the rapidity of the algorithm,taking into account the anti-noise ability and *** pulsating flow signal simulation,the tracking ability of the three algorithms for abrupt signals is *** improved two-phase flow random walk model simulation,the fast solving performance and anti-noise ability of the three algorithms are compared,and the execution time of the algorithms is *** simulation results show that the capabilities of CCF and QD are better than *** of pulsating flow and gas-liquid two-phase flow are designed to verify the performance of CCF and QD *** experimental results show that the measurement accuracy and repeatability of CCF algorithm are better than that of QD in pulsating *** gas-liquid two-phase flow,the measurement error of CCF algorithm is smaller than that of QD,and the repeatability is better than that of QD except for some *** the liquid flow rate is constant,with the increase of gas content,the measurement error of the CCF algorithm is smaller than that of *** the flow pattern changes,the CCF algorithm can track the signal *** the speed of the algorithm increase,the ability of tracking changing signals is stronger,which is benefit for improving the accuracy of measuring gas-liquid two-phase flow and pulsating flow.

关键词： Coriolis mass flowmeter Phase difference algorithm Rapidity Gas-liquid two-phase flow Pulsating flow

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Neural-LAFC: A Neural Learning Adaptive Flight controller for Tailless Flapping-Wing Robots Under Uncertain Wind Disturbance Conditions

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IEEE Transactions on Aerospace and Electronic systems 2025年

作者： Guo, Qingcheng Zhang, Yichen Mou, Jiawang Liu, Wu Wu, Xiaosheng Lu, Jun-Guo Shanghai Jiao Tong University Department of Automation China Key Laboratory of System Control and Information Processing Ministry of Education of China China National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai200240 China Shanghai Jiao Tong University National Key Laboratory of Advanced Micro and Nano Manufacture Technology China Shanghai Jiao Tong University Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai200240 China Designing Institute of Hubei Space Technology Academy Wuhan China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China

Enabling bio-inspired flapping-wing robots (FWRs) to maintain stable flight in windy environments, similar to real flying creatures, is of significant importance. In this work, a neural learning-based adaptive flight controller (Neural-LAFC) is proposed for the attitude and position control of a tailless FWR under uncertain wind conditions. The key approach involves employing a deep neural network (DNN) that incorporates not only attitude information but also instantaneous flapping angles of the wings to learn the aerodynamic torques that cannot be accurately modeled. The training data are obtained from flight experiments conducted with the FWR in a wind tunnel environment. Subsequently, a composite adaptive law is presented to update a set of linear coefficients. These linear coefficients are utilized to blend the pre-trained basis functions to represent the aerodynamic torques. The tracking errors are shown to exponentially converge to a bounded region, as guaranteed by a Lyapunov function. Based on the learning-based attitude controller, we also develop an adaptive controller for position control. Notably, apart from the training phase, the FWR operates without prior knowledge of wind speed. Experimental results demonstrate that the Neural-LAFC successfully achieves the desired attitude stabilization, target point tracking, and path tracking of the FWR in windy conditions. The proposed control scheme also outperforms baseline controllers in wind disturbance suppression, reducing the root mean square position errors by more than 40% when the FWR is subjected to a horizontal wind within the speed of 180 {cm s{-1}}. © 1965-2011 IEEE.

关键词： Wind tunnels

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Investigation on slug flow parameters based on PIV phase discrimination

Investigation on slug flow parameters based on PIV phase dis...

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Tianjin University-IET Electrical & information Engineering Doctoral Forum (TJU IET 2023)

作者： H. Wang T. Xue College of Electrical and Information Engineering Tianjin Key Laboratory of Process Measurement and Control Tianjin University Tianjin People's Republic of China

Investigation of synchronously acquiring multiple parameters holds valuable insights into flow characteristics. When employing particle image velocimetry in gas-liquid slug flow, the integration of phase discrimination assumes an unequivocal role. This not only facilitates the separation of gas and liquid phases to distinctly capture velocity field distributions but also enables the extraction of characteristic parameters beyond velocity from gas or liquid phase. In this study, in addition to velocity measurements employing particle image velocimetry, structural parameters measurement methodologies within slug flow, such as liquid film thickness and elongated bubble length, are introduced based on phase discrimination results. By leveraging the inherent relationships among flow rate parameters, the measurement parameters are cross-validated based on experimental findings to assess the feasibility of the method. Ultimately, an exploration and analysis of flow characteristics in slug flow under different flow conditions are undertaken.

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Research on Optimization of Two-Stage Scheduling for Aluminum Extrusion Machine Manufacturing Line

Research on Optimization of Two-Stage Scheduling for Aluminu...

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Chinese Automation Congress (CAC)

作者： Aoran Zhou Lipeng Qiu Yali Wu Department of Information and Control Engineering Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China State Key Laboratory of Metal Extrusion and Forging Equipment Technology China National Heavy Machinery Research Institute Co Ltd Xi'an China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In view of the problems of high energy consumption, long inventory time and low production efficiency in the production process of traditional aluminum extrusion machine, this paper establishes an efficient two-stage parallel scheduling optimization model based on the integration of flexible job shop scheduling and assembly sequence planning (IFJSS-ASP). On this basis, an evolutionary algorithm combining strong dominance relationship and simple grouping method (SDREA-SGM) is proposed. The algorithm utilizes a two-stage hybrid chromosome encoding and decoding method to establish a rational mapping from the decision space to the solution space. Furthermore, in order to prevent the model from easily falling into local optima, an adaptive intra-class and inter-class pairing selection strategy has been adopted by the algorithm. This enhances global search and improves local search flexibility. Finally, the feasibility and effectiveness of the algorithm are verified by solving problems of different scales.

关键词： Energy consumption Job shop scheduling Optimization models Aluminum Production Evolutionary computation Encoding Planning Decoding Optimization

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Concurrent Learning-Based Adaptive control for the Wheeled Mobile Robot with Uncertainties and Disturbances

Concurrent Learning-Based Adaptive Control for the Wheeled M...

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第43届中国控制会议

作者： Bo Qin Huaicheng Yan Kai Rao Penghui Yang Key Laboratory of Smart Manufacturing in Energy Chemical Process of Ministry of Education East China University of Science and Technology Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper focuses on the tracking problem of a perturbed wheeled mobile robot(WMR). Taking both the kinematic model and dynamic model into account, a transformed model is proposed based on the heading position. By extracting deep-root information from the lumped disturbance, the influence of the lumped disturbance can be estimated and eliminated by a simple adaptive compensation term. concurrent learning(CL) is introduced to the adaptive law to relax the persistent excitation(PE)condition. A Lyapunov-based method is used to ensure globally uniformly ultimately bounded(GUUB) stable tracking. The proposed control strategy is proven effective by a numerical simulation.

关键词： wheeled mobile robot concurrent learning adaptive control disturbances

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Multi-Objective Optimization of Integrated Energy system for Cchp Based on Improved Cuckoo Search Algorithm

SSRN

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SSRN 2024年

作者： Zheng, KaiYue Zhao, ChuanZhen School of Control Science and Engineering Key Laboratory of Intelligent Control of Electrical Equipment Tiangong University Tianjin300387 China School of Electronics & Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tiangong University Tianjin300387 China

This paper discusses the optimization and scheduling of an integrated energy system for combined cooling, heating and power (CCHP). It seeks to provide better scheduling of device outputs in the system and to decrease the daily economic and environmental operating costs of the system. We build an integrated energy system with wind turbine, micro gas turbine, electric cooling unit and so on, and establish a multi-objective optimization model with the goal of minimizing economic and environmental costs. In addition, we propose a novel optimal scheduling method. It combines chaotic mapping and cuckoo search algorithm to address issues such as slow convergence speed and high iteration counts in traditional optimization algorithms. Finally, the improved cuckoo search algorithm is used to solve the system optimization problem. The optimization solution is implemented in the case of satisfying the constraints of equipment output and power balance. The simulation results show that the CCHP system can effectively improve the economic efficiency and reduce the pollutant emissions compared with the common micro-grid system. Furthermore, compared with other algorithms, the improved cuckoo algorithm shows much better performance in solving the model and can decrease the whole system's total cost. © 2024, The Authors. All rights reserved.

关键词： Multiobjective optimization

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