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2022 Chinese Automation Congress, CAC 2022

作者： Liu, Yuyu Liu, Ding Song, Zezhong Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi`an University of Technology Xi'an710048 China

ISBN: (纸本)9781665465335

The growth of Czochralski(CZ) monocrystalline silicon is a nonlinear dynamic time-varying system with complex physical changes and multi-field and multi-phase coupling. In order to meet the needs of information development, it is urgent to develop large-scale, high-quality monocrystalline silicon. However, it is extremely difficult to establish an accurate control system model. Therefore, this paper considers the complex physical changes of multi-field coupling and non-linear processes in the growth of CZ monocrystalline silicon, a lumped parameter model for the growth of monocrystalline silicon is established based on energy balance model, fluid mechanics model, and geometry model, according to the internal mechanism of the monocrystalline silicon growth and the transfer mechanism of internal material flow. According to the model, a CZ monocrystalline silicon growth simulation control system is established under the Matlab/Simulink environment, and the real-time simulation data of each state variable of crystal growth is obtained. So that the control characteristics of each state variable in the crystal growth process can be analyzed. Finally, the validity of the established model is checked by the records evaluation of the semiconductor industry production process. Finally, the validity of the established model is verified based on the data analysis of the semiconductor industry production process. The results show that the model has high accuracy and can better describe the dynamic behavior of the actual monocrystalline silicon growth system. © 2022 IEEE.

关键词： MATLAB

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Vehicle state parameter estimation based on improved adaptive observer 7

Vehicle state parameter estimation based on improved adaptiv...

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7th CAA International Conference on Vehicular control and Intelligence, CVCI 2023

作者： Wang, Lianbing Zhao, Xu Wan, Juncheng Guo, Hongyan Zhang, Yiming State Key Laboratory of Automotive Simulation and Control The College of Communication Engineering Jilin University Changchun China College of Communication Engineering Jilin University The Department of Aircraft Control and Information Engineering Jilin Institute of Chemical Technology Changchun China SAIC Motor R&D Innovation Headquarter Shanghai China

ISBN: (纸本)9798350340488

To accurately obtain the state parameters during vehicle driving, this paper designs an adaptive nonlinear observer for vehicle state parameters to mitigate the influence of measurement noise within the framework of extended Kalman filtering. Based on the vehicle nonlinear three degree of freedom, a dead zone observer was designed to accurately estimate the sideslip angle, yaw rate, and longitudinal velocity of the vehicle in answer to the problem of significant noise in lateral acceleration. According to the output variable error, determine the dead zone boundary of the observed state variables at each time based on observation errors, limiting the estimation error within the dead zone boundary and improving noise suppression performance. The validity of this method is validated through a variety of different simulation conditions and by comparison to the EKF algorithm. Results demonstrate that the improved algorithm significantly enhances the estimation precision compared to Extended Kalman Filter algorithm. © 2023 IEEE.

关键词： adaptive observer Extended Kalman Filter intelligent vehicle vehicle state parameters estimation

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Model predictive control of event triggering in silicon single crystal growth processes

Model predictive control of event triggering in silicon sing...

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2022 Chinese Automation Congress, CAC 2022

作者： Li, Yankai Ren, Biao Liu, Ding Xi'An University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xi'an710048 China

ISBN: (纸本)9781665465335

In this paper, the control issue of the semiconductor silicon monocrystalline growth process is studied through an event triggered model prediction approach. Firstly, a state-space model of silicon monocrystalline growth process is developed to describe the energy conversion and the dynamics and the geometry of the isodiametric stage silicon monocrystalline via the Czochralski method. Secondly, a small perturbation linearization is used to obtain a linear continuous model, which is translated into a linear discrete model under zero-order retainers. Finally, an event triggered model prediction controller is established to decrease the calculation of model prediction in the rolling optimization process. Based on experimental results, the event-triggered model prediction control algorithm is confirmed to be an effectively control scheme for the silicon monocrystalline growth process. © 2022 IEEE.

关键词： Model predictive control

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A Head and Eye Pose Detection and Tracking Method in Intelligent Cockpits

A Head and Eye Pose Detection and Tracking Method in Intelli...

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International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Minghao Fan Weihong Guo Sheng Cheng Shenghai Zhang Qijie Zhao School of Mechatronic Engineering and Automation Shanghai University Shanghai China Shanghai Aircraft Design and Research Institute State Key Laboratory of Airliner Integration Technology and Flight Simulation Shanghai China Commercial Aircraft Corporation of China Ltd Shanghai China

ISBN: (数字)9798331540241

ISBN: (纸本)9798331540258

With the ongoing progress in artificial intelligence, human-machine interaction technologies, rooted in electrification, connectivity, intelligence, and sharing, have emerged as the predominant focus for the future of intelligent cockpits. This paper, by scrutinizing the present requirements for information processing from a human-machine interaction standpoint, proposes a head and eye pose detection and tracking method in intelligent cockpits, enabling accurate perception of the driver’s intentions. This scheme incorporates three core modules: information acquisition, information processing, and intention perception. To implement this, we employ a Driver Monitoring System (DMS) to gather comprehensive facial data from drivers. By integrating both depth and grayscale feature information from these recordings, we accurately identify key facial landmarks and the precise detection of the head and eye pose of the driver. Leveraging our custom-built simulated driving environment, we then undertake an in-depth analysis of the drivers’ behavioral intentions using the proposed head and eye position detection method, effectively validating the reliability and efficacy of our proposed intention awareness solution. This research thereby charts a new course for advancing human-machine interaction designs and strategies for intelligent cockpits, offering a fresh perspective of the head and eye pose detection and tracking method that can pave the way for enhanced safety, efficiency, and user experience in the cockpits of tomorrow.

关键词： Human computer interaction Human-machine systems Information processing Gray-scale Magnetic heads User experience Safety Recording Reliability Monitoring

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Research on drop test methods for four-wheel bogie-type landing gear for large civil aircraft

Research on drop test methods for four-wheel bogie-type land...

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CSAA/IET International Conference on aircraft Utility Systems (AUS 2024)

作者： Ge Dongdong Zhang Zihao Wang Kuan Shanghai Aircraft Design and Research Institute Shanghai People's Republic of China State key Laboratory of Airliner Integration Technology and Flight Simulation Shanghai 200126 People's Republic of China

ISBN: (数字)9781837242108

The landing gear drop test primarily verifies the landing gear's buffer system's ability to absorb the aircraft's kinetic energy during the landing process, while ensuring that the load, structure, and filling parameters meet design requirements. Common drop test methods include the reduced mass method and the pseudo-lift method, both based on the principle of energy equivalence. Currently, comparative research on these methods mainly focuses on tandem dual-wheel landing gears, with limited studies comparing drop test methods for bogie-type landing gears. This study focuses on the main landing gear of a specific aircraft, which features a four-wheel bogie-type structure. Using LMS *** Motion dynamics simulation software, simulations were conducted for both the pseudo-lift method and the reduced mass method to compare key parameters such as landing impact loads and system power under the absorption of equivalent energy.

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Event-based Neuro-Adaptive Containment control for Uncertain Networked Agent Systems With External Disturbances

Event-based Neuro-Adaptive Containment Control for Uncertain...

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第43届中国控制会议

作者： Long You Boxian Lin Jiangfeng Yue Weihao Li Mengji Shi Kaiyu Qin School of Aeronautics and Astronautics University of Electronic Science and Technology of China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province National Laboratory on Adaptive Optics

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

In this work,the robust containment control problem of uncertain networked agent systems is *** dynamics of both the followers and the leaders involve uncertain nonlinear ***,a neural network-based adaptive control scheme with the event-triggered mechanism is designed for the follower agents to approach the convex hull which is composed of the leader ***,a unified event-triggered mechanism is designed to ensure that the neural networks synchronize with the reduced update frequency of the robust controller,while ensuring that both are updated solely when the system error state reaches a predetermined triggering *** designed event-triggered containment control scheme minimizes unnecessary communication and computation resulting from periodic updates,thereby enhancing the efficiency of communication and computational resource ***,by utilizing the Lyapunov stability theorem,it is proven that all signals of the closed-loop system are globally uniformly ultimately bounded,and Zeno behavior is strictly ***,the effectiveness of the proposed containment control scheme is verified through numerical simulation results.

关键词： Containment control Networked Agent Systems Neural Network Adaptive control Event-triggered

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Effective distributed algorithm for solving linear matrix equations

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Science China(Information Sciences) 2023年第8期66卷 265-266页

作者： Songsong CHENG Jinlong LEI Xianlin ZENG Yuan FAN Yiguang HONG Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and Automation Anhui University Department of Control Science and Engineering Tongji University Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

Dear editor,Solving linear matrix equations is a basic and important problem in many fields such as the computation of generalized inverses of matrices and(generalized) Sylvester equations. Also, the linear algebraic ...

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Prescribed-time Bipartite Formation Tracking control of Heterogeneous Networked Agent Systems Over Signed Graph

Prescribed-time Bipartite Formation Tracking Control of Hete...

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第35届中国过程控制会议

作者： Haoyang Yuan Boxian Lin Shiji Tong Mengji Shi Kaiyu Qin Qiang Liu School of Aeronautics and Astronautics University of Electronic Science and Technology of China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province National Laboratory on Adaptive Optics

This paper addresses the bipartite formation tracking control problem of heterogeneous networked agent *** interactions among agents are described by a signed graph,where cooperation and competition coexist. Theoretically, a prescribed-time control scheme is designed for follower agents to achieve bipartite formation tracking. At first, the output regulation equation is employed to establish a mapping between state and output. Subsequently, we model the issue as an error stabilization problem, which facilitates the design of the controller. Secondly, by generating the time-scaling function, a prescribed-time formation tracking controller is designed. Then,the stability of the closed-loop system is proven by utilizing the Lyapunov theorem. Finally, the effectiveness of the proposed prescribed-time bipartite formation tracking controller is verified by some simulation results.

关键词： Bipartite formation Prescribed-time Heterogeneous networked agent systems Signed graph

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Chaotic Opposition-based Improved Football Team Training Optimization Algorithm

Chaotic Opposition-based Improved Football Team Training Opt...

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第35届中国过程控制会议

作者： Xinyu Sun Mengji Shi Jiangfeng Yue Weihao Li Boxian Lin Kaiyu Qin School of Aeronautics and Astronautics University of Electronic Science and Technology of China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province National Laboratory on Adaptive Optics

This paper proposes an improved football team training algorithm(IFTTA), which integrates chaotic mapping and an opposition-based learning(OBL) strategy, addressing the deficiencies of the conventional algorithm such as sluggish earlystage convergence and susceptibility to local optima. Firstly, we propose a novel chaotic mapping technique, termed the iterative logistic-skew-tent map with infinite collapses(ILSTMIC), which exhibits robust chaotic characteristics. This mapping method is then utilized to optimize the initialization phase of the football team training algorithm(FTTA), significantly enhancing its early-stage convergence rate. Moreover, drawing parallels to the collaborative training practices among top-performing students in Chinese high schools, this paper incorporates a joint training phase into the FTTA based on the OBL approach, thereby augmenting its global optimization capabilities. The efficacy of the proposed IFTTA is validated against the CEC2022 benchmark,where it is compared with other leading optimization *** findings demonstrate that the IFTTA outperforms these algorithms in terms of both convergence speed and accuracy.

关键词： Meta-heuristic optimization Football team training algorithm Chaotic mapping Opposition-based learning

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Nose landing gear strength test strain gauge vs FEA correlation

Nose landing gear strength test strain gauge vs FEA correlat...

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CSAA/IET International Conference on aircraft Utility Systems (AUS 2024)

作者： Wenmin Xu Shixu Cao Wenjie Chen Shangxin Yang State Key Laboratory of Airliner Integration Technology and Flight Simulation Shanghai People's Republic of China COMAC Shanghai Aircraft Design & Research Institute Shanghai People's Republic of China

ISBN: (数字)9781837242108

This article conducts finite element modeling analysis on the nose landing gear, and calculates and analyzes several severe load conditions. Strength tests were conducted on the nose landing gear to verify that the static strength of the landing gear meets the requirements. By comparing the strength test and finite element analysis results of the landing gear, it is shown that the analysis and test results are within the tolerance range, indicating that the finite element analysis and results are reliable and can be used for subsequent analysis.

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