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第41届中国控制会议

作者： Jian Liu Yang Zhou Huixuan Zhu Jingwei Guo School of Information and Control Engineering Shenyang Jianzhu University State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the problem of low printing resolution due to the excessively fast droplet falling speed of traditional inkjet 3D printing,a new method of high-voltage electric field controlled inkjet 3 D printing was *** applying a high-voltage electric field during the printing process,the droplets are subjected to the reverse electric field force to control the speed of the droplets during printing,there by ensuring high printing resolution and obtaining better *** this paper,a feasible printing method will be proposed and the feasibility of the method will be verified through confirmatory experiments and simulation studies.

关键词： inkjet 3D printing speed high-voltage electric field control

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An Effective Nuclear Magnetic Resonance Gyroscope control Method based on ESOPI-PLL

An Effective Nuclear Magnetic Resonance Gyroscope Control Me...

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2024 China automation Congress, CAC 2024

作者： Hu, Pengjie Niu, Dan Yang, Yanlan Liu, Yuansheng Sun, Xiaojie Fu, Qi School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of CSE Ministry of Education Nanjing210096 China Beijing Institute of Aerospace Control Devices Beijing100048 China Quantum Engineering Research Center of CASC Beijing100048 China

ISBN: (纸本)9798350368604

In the design of nuclear magnetic resonance gyroscopes, the closed-loop control of the excitation magnetic field is crucial. Among various control methods, the phase-locked loop (PLL) is widely used to enhance the dynamic characteristics and stability of the gyroscope. This research employs the Second-Order Generalized Integrator (SOGI) as the phase detector, with the loop filter utilizing PI control. However, the system, being of type 2, cannot track acceleration signals without a static error. To address this limitation, we propose a loop filter design based on an Extended State Observer (ESO) integrated with PI control, effectively transforming the system into ESOPI-PLL, which is a type of Type3-PLL. Compared to the traditional SOGI-PLL system, simulation results demonstrate that our proposed scheme extends the gyroscope range to 2000 °/s, with a bandwidth of 30Hz, and achieves zero static error tracking. This advancement presents significant application potential for nuclear magnetic resonance gyroscopes. © 2024 IEEE.

关键词： Phase locked loops

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Complex Permeability Determination for EE Core Based on Flexible PCB Fixture and Magnetic Flux Path Length Analysis 2

Complex Permeability Determination for EE Core Based on Flex...

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2nd China Power Supply Society Electromagnetic Compatibility Conference, CPEMC 2024

作者： Jie, Huamin Zhao, Zhenyu Chang, Yongqi Wang, Changdong Jiang, Shiqi Gao, Richard Xian-Ke See, Kye Yak School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Department of Electrical and Computer Engineering National Univeristy of Singapore Singapore Singapore Department of Control Science and Engineering Harbin Institute of Technology Harbin China School of Electronics and Information Engineering Harbin Institute of Technology Harbin China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Institute of High Performance Computing A*STAR Singapore Singapore

ISBN: (纸本)9798331509552

The complex permeability of magnetic cores acts as a vital factor in electromagnetic interference (EMI) filtering choke design and optimization. Many efforts have been reported for toroid cores, but fewer target those with other shapes, such as EE, EI, UU, and UI cores. Owing to their commonly used in planar EMI filters, determining the complex permeability of them is of significance. Targeting EE cores, this paper presents a flexible printed circuit board (PCB)-based fixture adapter tailored designed for performing the measurement, while the corresponding core permeability can be calculated through magnetic flux path length analysis. The experiments validate the effectiveness and accuracy of the proposed methods, spanning a wide frequency range up to 120 MHz. ©2024 IEEE.

关键词： Magnetic flux

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Deep Neural Network-Based Penetration Trajectory Generation for Hypersonic Gliding Vehicles Encountering Two Interceptors 41

Deep Neural Network-Based Penetration Trajectory Generation ...

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第41届中国控制会议

作者： Zhipeng Shen Jianglong Yu Xiwang Dong Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Institute of Artificial Intelligence Beihang University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

A deep learning-based approach is developed to address the penetration problem for the hypersonic gliding vehicle(HGV) in this *** dynamics of HGV and the penetration problem are ***,a recently proposed second-order cone programming(SOCP) method is utilized to solve penetration trajectory optimization ***,the generated trajectories are used to train the deep neural network(DNN),which is then applied as the command *** DNN-based controllers are trained offline and act as real-time controllers *** are carried out to verify the effectiveness and real-time performance of the DNN-driven scheme.

关键词： Hypersonic Gliding Vehicle Penetration Trajectory Neural Network Real-Time Interceptors

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Certificated Actor-Critic: Hierarchical Reinforcement Learning with control Barrier Functions for Safe Navigation

arXiv

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arXiv 2025年

作者： Xie, Junjun Zhao, Shuhao Hu, Liang Gao, Huijun Department of Automation School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China

control Barrier Functions (CBFs) have emerged as a prominent approach to designing safe navigation systems of robots. Despite their popularity, current CBF-based methods exhibit some limitations: optimization-based safe control techniques tend to be either myopic or computationally intensive, and they rely on simplified system models;conversely, the learning-based methods suffer from the lack of quantitative indication in terms of navigation performance and safety. In this paper, we present a new model-free reinforcement learning algorithm called Certificated Actor-Critic (CAC), which introduces a hierarchical reinforcement learning framework and well-defined reward functions derived from CBFs. We carry out theoretical analysis and proof of our algorithm, and propose several improvements in algorithm implementation. Our analysis is validated by two simulation experiments, showing the effectiveness of our proposed CAC algorithm. Copyright © 2025, The Authors. All rights reserved.

关键词： Adversarial machine learning

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Transient stability enhancement for power grid with MMC-MTDC under N-k contingencies 7

Transient stability enhancement for power grid with MMC-MTDC...

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7th Asia Conference on Power and Electrical engineering, ACPEE 2022

作者： Shi, Zhongpei Long, Yuanjian Wang, Huaizhi Wu, Ting Shenzhen University College of Mechatronics and Control Engineering Shenzhen China Harbin Institute of Technology The School of Mechanical Engineering and Automation Shenzhen China

ISBN: (纸本)9781665418195

With the global climate change, the frequency of extreme weather is getting higher and higher, and the threat to the safe operation of the power system is gradually increasing, which is likely to cause large-scale power outages then result in N-k contingencies. Meanwhile, Modular Multi-level Converter (MMC) based Multi Terminal High Voltage Direct Current (MTDC) has been confirmed that can provide the possibility for the network interconnection between regional power systems and various renewable energy resources to boost supply reliability and economy. To enhance the transient stability of the power grid, a generation rescheduling scheme by optimal emergency control that considers the risk-based dynamic security constraint and reactive power constraints is proposed. The proposed strategy can avoid subsequent N-k-1 contingencies in the harsh environment by changing the generating capacity of the generator and the operation state of the MMC. The simulation results from studies on a 10-machine-39-bus power system have been demonstrated the effectiveness of the proposed control strategy. © 2022 IEEE.

关键词： Electric power transmission networks

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Adaptive cubature Kalman filter with the estimation of correlation between multiplicative noise and additive measurement noise

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Chinese Journal of Aeronautics 2022年第5期35卷 40-52页

作者： Quanbo GE Zhongcheng MA Jinglan LI Qinmin YANG Zhenyu LU Hong LI School of Electronics and Information Engineering Tongji UniversityShanghai 201804China Institute of Systems Science and Control Engineering School of AutomationHangzhou Dianzi UniversityHangzhou 310018China State Key Laboratory of Industrial Control Technology and the College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science and TechnologyNanjing 210044China Chinese Flight Test Establishment Xi’an 710089China

Mobile robots are often subject to multiplicative noise in the target tracking tasks,where the multiplicative measurement noise is correlated with additive measurement *** this paper,first,a correlation multiplicative measurement noise model is *** is able to more accurately represent the measurement error caused by the distance sensor dependence ***,the estimated performance mismatch problem of Cubature Kalman Filter(CKF)under multiplicative noise is *** improved Gaussian filter algorithm is introduced to help obtain the CKF algorithm with correlated multiplicative *** practice,the model parameters are unknown or inaccurate,especially the correlation of noise is difficult to obtain,which can lead to a decrease in filtering accuracy or even *** address this,an adaptive CKF algorithm is further provided to achieve reliable state estimation for the unknown noise correlation coefficient and thus the application of the CKF algorithm is ***,the estimated performance is analyzed theoretically,and the simulation study is conducted to validate the effectiveness of the proposed algorithm.

关键词： Adaptive CKF Correlated noise Estimation accuracy Multiplicative noise Performance analysis Target tracking

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Line Feature Based Visual Servo control with TDE for Underwater Vehicle Manipulator Systems Target Grasping

Line Feature Based Visual Servo Control with TDE for Underwa...

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2024 IEEE International Conference on Unmanned Systems, ICUS 2024

作者： Zhang, Yunfei Bian, Xinyu Sun, Yize Zhang, Zongyu Huang, Hai Yang, Xu National Key Laboratory of Autonomous Marine Vehicle Technology Harbin Engineering University Harbin China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350384185

Underwater vehicle manipulator systems (UVMSs) is becoming a research hotspot in the field of marine intelligent equipment. Introducing visual feedback equipped with cameras in the loop to guide UVMS to complete the grasping has comprehensive advantages of response speed, work efficiency and intelligence. In this paper, mapping between the feature error and the motion of the UVMS generalized degrees of freedom is established to realize the suspended grasping under the coordinated motion of the vehicle body and the manipulator. Then, a UVMS motion control algorithm based on time delay estimation (TDE) is constructed for visual servo autonomous grasping process, the TDE of which is used to estimate and compensate the lumped interference in real time. The Lyapunov theory is applied to analyze its stability and its control performance is verified through simulation experiments. The simulation results shew the effectiveness of the proposed visual servo control with TED method based on line features. © 2024 IEEE.

关键词： Visual servoing

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Phase Gradient Metasurface RCS Reduction Technique Based on Metal Mesh Microstructure 2

Phase Gradient Metasurface RCS Reduction Technique Based on ...

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2nd International Conference on Signal Processing and Intelligent Computing, SPIC 2024

作者： Wang, Anning Zhang, Hui Qi, Feng Wang, Yelong Liu, Runsheng Shenyang Jianzhu University School of Electrical and Control Engineering Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China The Key Laboratory of Liaoning Province in Terahertz Imaging and Sensing Shenyang China

ISBN: (纸本)9798350368888

Under the requirement of electromagnetic (EM) scattering weakening for the internal components in flight platforms, a phase gradient metasurface based on metal mesh microstructures is proposed to reduce the radar scattering cross-section (RCS) and maintain a high optical transmittance. In order to realize the EM scattering reduction, a mesh model based on the phase gradient principle is established, which not only improves the total light transmittance in the optical band, but also homogenizes the scattering directions of the EM wave. Results demonstrate that the overall optical transmittance is higher than 88.60%. Meanwhile, the RCS reduction caused by the meshed metasurface is more than 10 dB in the frequency band of 15.7~18.1 GHz. Moreover, the maximum reduction value is 15.8 dB. The phase gradient metasurface proposed in this paper has a great application potential in the field of electromagnetic scattering. © 2024 IEEE.

关键词： Mesh generation

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Flight Parameter Prediction and Fault Propagation based on Machine Learning and Symbolic Directed Graph 6

Flight Parameter Prediction and Fault Propagation based on M...

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6th International Symposium on Autonomous Systems, ISAS 2023

作者： Li, Wenzhuo Guo, Kun Cheng, Yuehua Hu, Hengsong Xu, Cheng Yu, Ziquan Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Institute of Mechanical and Electrical Engineering Beijing China

ISBN: (纸本)9798350316155

Fault influence and propagation analysis of flight vehicle systems is an important element of flight vehicle health management and also an important problem to be solved. A fault influence model based on data-driven is established, including a prediction model of flight parameters under fault, a dynamic influence path, and an influence degree model. Based on the historical experimental data, a long and short-term memory neural network (LSTM) model is proposed to predict the time-series data of each flight parameter of the flight vehicle under fault;based on the prediction results, a symbolic directed graph (SDG) is used to describe the fault of the flight vehicle system, and then introduce the concept of a compatible path with time-series characteristics to describe the dynamic propagation process of the fault. The case shows that the method proposed in this paper enables qualitative and quantitative analysis of the fault influence, and can reasonably describe the fault propagation path and influence characteristics. © 2023 IEEE.

关键词： Directed graphs

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