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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Zhao, Nale He, Qiao Liu, Ruiche Sun, Ming Research Institute of Highway Key Laboratory of Road Safety Technologies Ministry of Transport People’s Republic of China Beijing100088 China Beijing Key Laboratory of Urban Intelligent Traffic Control Technology North China University of Technology Beijing100144 China

ISBN: (纸本)9789819639762

This study evaluates the safety risks of highways under low visibility conditions by combining visibility and traffic intensity, and utilizing driving simulation experiments. Nine experimental schemes were designed based on different visibility and traffic flow states, and the simulation experiment data of 30 participants were analyzed. The study established an evaluation system covering traffic efficiency and safety, and used the AHP-TOPSIS method along with hierarchical clustering algorithms to categorize risks into three levels, providing theoretical support and decision-making guidance for the safety management of highways. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Automobile driver simulators

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Synchronization control for Multi-Electromechanical Actuators Based on Model Predictive control 41

Synchronization Control for Multi-Electromechanical Actuator...

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第41届中国控制会议

作者： Bitong Du Shuo Zhang Jiaxing Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Model predictive control has great application potential in the field of the synchronization control due to its strong ability to solve the problem with multiple variables and strict *** this paper,mathematical model of a MIMO system of consisting with three-electromechanical actuators is established,and a relative coupling control algorithm based on model predictive control(SE-MPC) for the synchronization control of multi-electromechanical actuators has been *** synchronization errors are reduced by introducing the synchronization error items into cost function and constraints ***,the simulation verification is carried out and compared among the proposed method and the traditional model predictive control method without considering the synchronization error(NSE-MPC),as well as the relative coupled control method based on PID(RC-PID),the results illustrate preferable synchronization control performance and strong robustness of the proposed method in the comparative numerical simulation.

关键词： Multi-electromechanical actuators(Multi-EMAs) Model predictive control(MPC) Synchronization control Relative coupling control

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Research on the Characteristics of Multi-Outlet Internal Rotary Nozzle 14th

Research on the Characteristics of Multi-Outlet Internal Rot...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Jiang, Wenbo Xu, Weipeng College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

This paper proposes a multi-outlet internal rotating nozzle structure to address the issues of soot generation and friction/wear associated with mineral mining. The atomization and jet characteristics of the nozzle are simulated and analysed using CFD software, and the effects of initial pressure and outlet diameter on the jet effect of the internal rotating nozzle are investigated. The findings indicate that the jet velocity in the lateral exit channel and the canter exit of the multi-outlet nozzle increases with an increase in the initial pressure. Conversely, the exit flow velocity of the nozzle at a constant initial pressure shows a gradual decrease with an increase in the exit diameter. At low pressure and outlet diameter, the atomization effect of the nozzle is not significant. However, the atomization angle increases gradually with an increase in the initial pressure and outlet diameter. Under the same pressure, the atomization angle shows a tendency of increasing and then decreasing with the increase of outlet diameter. And the best atomization angle is obtained when the outlet diameter is 1.3 mm and the initial pressure is 0.7 MPa. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Nozzles

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Spatial Resolution Enhancement in OFDR Using a Modified Cohen's Class Analysis

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Journal of Lightwave technology 2025年第12期43卷 5915-5922页

作者： Liang, Changshuo Wang, Yu Gao, Yan Zhang, Hongjuan Jin, Baoquan Bai, Qing Taiyuan University of Technology College of Electrical and Power Engineering Taiyuan030024 China Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan030024 China Shanxi Transportation Technology Research & Development Co. Ltd Shanxi Taiyuan030006 China

We proposed a demodulation algorithm for optical frequency domain reflectometry (OFDR) sensing system which utilizes a Cohen's class analysis with a modified kernel function to improve spatial resolution and hold a reliable sensing accuracy. With the enhanced time-frequency concentration of Cohen's class analysis compared to conventional short-time Fourier transform (STFT), the trade-off between spatial resolution and sensing accuracy is mitigated. The procedure of the proposed Cohen's class analysis algorithm and the demodulation method with this algorithm are expounded in steps with the advantages explained in theory. The experiment results demonstrate that the OFDR system with the proposed algorithm is capable of sensing strain ranging from 0 to 1000 μϵ at 14 m sensing distance. As a comparison to conventional OFDR demodulation using STFT with window length of 200 points, the spatial resolution has improved from 6.05 mm to 0.16 mm, while the demodulation root mean square error (RMSE) reaches 2.91 × 10-3 nm in the strained area. © 1983-2012 IEEE.

关键词： Mean square error

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The Progress and intelligent control/Decision Technical Discussion on Hypersonic Morphing Flight Vehicle

The Progress and Intelligent Control/Decision Technical Disc...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Zhang, Yuan Bai, Wenyan Huang, Wanwei Nie, Ying Huang, Xu Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9789811966125

For the hypersonic morphing flight vehicle (HMFV) dynamic strong uncertainty, time-varying, integration of control and decision problem, the engineering application requirements and difficulties are analyzed, and three feasibility schemes of control/decision are presented. Firstly, the significance, classification and development of morphing aircrafts are summarized;secondly, combining with the engineering needs, some detailed discussion on research challenges and key points are provided;thirdly, focusing on the HMFV control and decision problem, three general schemes for the HFMV control and decision issues are presented, including the intelligent anti-disturbance rejection control schemes, the high-precision control with RBF neural network scheme, and the intelligent control/decision integration scheme;finally, the paper is summarized and the further research directions are discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reinforcement learning

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Adaptive Parameter Estimation with Directional Forgetting for Nonlinear Systems 16th

Adaptive Parameter Estimation with Directional Forgetting f...

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

作者： Wen, Guoli Xing, Yashan Na, Jing Gao, Guanbin Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming University of Science and Technology Kunming650500 China

ISBN: (纸本)9789819617760

This paper proposes a novel adaptive parameter estimation (APE) with directional forgetting (DF) based on the parameter estimation error for nonlinear systems. Most of APE methods are designed to forget the information of the regressor matrix in all direction in order to update the system information. However, some directions of the regressor matrix for systems are insufficient such that forgetting in all directions may trigger windup phenomenon. To prevent this phenomenon, the proposed method in this paper is to divide the regressor matrix into a forgotten part and a retained part via oblique projection. Then, the constant forgetting factor is applied to the forgotten part such that forgetting the regressor matrix is along the direction that the new information comes. Furthermore, the adaptive law is designed based on the parameter estimation error and the exponential convergence of the proposed method can be guaranteed under the persistent excitation (PE) condition. Finally, comparative simulation related to the proposed method and the classic APE method driven by the parameter estimation error is provided. Simulation results show that the proposed APE with DF algorithm has a better estimation performance than the classic APE method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Errors

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An Error Correcting Output Code Algorithm Based on Hierarchical Clustering for Lithology Identification 43

An Error Correcting Output Code Algorithm Based on Hierarchi...

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43rd Chinese control Conference, CCC 2024

作者： Li, Ao Chen, Xi Hunan University of Technology School of Rail Transit Zhuzhou412007 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China

ISBN: (纸本)9789887581581

Lithology identification serves as a crucial foundation for the precise exploration and safe exploitation of geological resources. However, challenges arise from the inherent imbalance and overlap present in logging data, making the accurate identification of lithology a complex task. Addressing these challenges effectively, this paper introduces a novel algorithm, the Error Correcting Output Code algorithm based on Hierarchical Clustering(HC-ECOC). The proposed algorithm initially formulates a coding matrix using distance and overlap measures between class clusters. Subsequently, it extends the length of the coding matrix by considering both the accuracy of the integrated classifier and the diversity among base classifiers. To evaluate the efficacy of the proposed method, comparisons were conducted with alternative algorithms using UCI datasets and an authentic lithology dataset. The results unequivocally demonstrate the superior performance of our algorithm. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Lithology

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Prediction Method of Mixed Gas Consumption in Hot Rolling Based on Improved K-Medoids Working Condition Division

Prediction Method of Mixed Gas Consumption in Hot Rolling Ba...

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2023 China Automation Congress, CAC 2023

作者： Li, Hao Xu, Demin Zhou, Fan Zhao, Jun Ministry of Education Key Laboratory of Intelligent Control and Optimization for Industrial Equipment China School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350303759

The prediction of mixed gas consumption in hot rolling production is of great significance in gas production-consumption balance and energy saving. However, in the actual production process of hot rolling, the complexity of production environment and the strong coupling of production processes lead to the complexity of working conditions, which brings great challenges to the prediction of mixed gas consumption. A prediction method of hot rolling mixed gas consumption based on improved K-Medoids working condition division is proposed in this paper. Based on Chebyshev's theorem, the method uses more robust median and median absolute deviation to evaluate the outliers in the cluster at each iteration in terms of distance, and further verifies from the perspective of density to complete the division of normal working conditions and abnormal working conditions. On this basis, considering the time dependence of hot rolling data, the prediction model of mixed gas consumption under corresponding working conditions was established by using the Long Short-Term Memory (LSTM) neural network. In order to verify the effectiveness of the proposed method, the actual industrial field data are used. The simulation results show that the proposed method has high prediction accuracy and is suitable for the prediction of mixed gas consumption in hot rolling. © 2023 IEEE.

关键词： Forecasting

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Force Analysis and Reliability Improvement Method for the Conical Picks of the Coal Mining Machine Drum 14th

Force Analysis and Reliability Improvement Method for the Co...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Wang, Shuxue Xu, Weipeng College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

In response to the situation where the first blade pick of a coal mining machine is prone to failure when cutting hard coal, the working process of the drum was simulated using finite element method. The force on the pick at different positions was obtained, and the main reasons for the failure of the first blade pick were analyzed. The effectiveness and practicality of reducing the force on the first blade pick were proposed and simulated. The research results indicate that the force on the first blade tooth can be effectively reduced by increasing the diameter of the end disk. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Coal mines

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Shallow Sleep control Management for Low-Power Rockets 9

Shallow Sleep Control Management for Low-Power Rockets

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9th International Conference on Advances in Machinery, Materials Science and Engineering Applications, MMSE 2023

作者： Zhang, Ying Sun, Kai Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9781643684383

In this paper, a control method for shallow sleep management of low-power rockets is studied, and three sleep modes are verified for shallow sleep, and the optimal adaptation of shallow sleep of rockets with minimum power consumption of 16 watts is confirmed In different application environments, multi-mode operation with low power consumption is realized, so as to achieve the goal of long life under the requirements of long-term power up. The low-power mode can make the system run more stably, help reduce system losses, effectively reduce the volume and weight of power supply equipment, and improve the carrying capacity of the rocket. In order to achieve the purpose of low power consumption, based on the principle of 'high and low matching', the performance matching of chips of different performance levels at their optimal working points is analyzed, and the low-power chip architecture design under different computing power requirements is realized, and experimental verification is carried out. © 2023 The Authors.

关键词： Electric power supplies to apparatus

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