Jingzhe Fang

Shenyang Institute of Automation

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Xiyou Chen

Dalian University of Technology

Hualiang Zhang

Shenyang Institute of Automation

Yiqiang Zhang

Zhengzhou University

Hongyu Yan

Saitama University

Guopeng Zhang

Shenyang Institute of Automation

Xintong Wang

University of Science and Technology Liaoning

Tao Zhang

Yanshan University

Xin Qian

State Key Laboratory of Food Science and Technology

Shujie Sun

Yantai University

Wanyan Guo

Shenyang University of Technology

Cooperative Institutions

Chinese Academy of Sciences

Shenyang University of Technology

Shenyang Institute of Automation

Jilin University

China National Offshore Oil Corporation (China)

China National Petroleum Corporation (China)

University of Chinese Academy of Sciences

Zhengzhou University

Dalian University of Technology

Beijing Institute of Technology

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Development and Optimization of a WebGL-Based Mechanical Model Simulation Platform

Lecture notes in mechanical engineering (2025)

Xintong Wang Hao Tian Jingzhe Fang Hualiang Zhang Tao Zhang

10.1007/978-981-97-7887-4_120

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Experimental Study on Localized Skin Effect Current Tracing Technology in Offshore Environment

The 30th International Ocean and Polar Engineering Conference (2020)

Yufei Wan Wenguang Wang Zhaoguang Qu Renwei Liu Xin Qian

Skin effect

Source

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Real-time Positioning Measurement using Intelligent Shoes

Yahong Li Wanyan Guo Jingzhe Fang Shujie Sun

The elderly travel safety has attracted more and more attention, this paper studies a real -time positioning measurement using intelligent shoes system that can locate the position information of the elderly in real time.The project is a positioning system integrated in the bottom of the heel part of the elderly.The positioning system of interaction with the server transmits location information of the elderly through GPS and S IM models in the bottom of the shoes.So the mobile clients achieve tracking and monitoring for the elderly travel through the interaction between the server and the mobile client.This paper includes the system function design, system structure design, in-depth study of the technical route and key problems.In the functional design, it is explained how to perceive the old location information and real-time positioning display, transmit travel data and process electronic fence function.In the structural design includes construction of the elderly travel information acquisition subsystem, data transmission subsystem, data processing and service interface subsystem and real -time positioning, intelligent fence subsystem, forms a complete system development structure.

10.2991/acaai-18.2018.14

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Position Control of X-Y Precision Planar Motion Stage Based on Iterative Learning and Cross-coupling

2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2023)

Jingzhe Fang Tao Zhang Xiyou Chen Qi Chen Guopeng Zhang

In some precision machining applications, not only should we pay attention to the tracking accuracy of the X-Y precision plane motion table, but the more important criterion is the contour accuracy. This paper proposes an adaptive iterative learning control that adjusts in real time with the system's working state for the X-Y precision plane motion stage control system. Then on the basis of adaptive iterative learning control, the relationship between the two axes is established by cross-coupling control, the contour error of the system is calculated in real time, and the stability of the system is improved. The final experimental results show that the improved algorithm has smaller contour error and better robustness.

Iterative Learning Control

Robustness

Position (finance)

Basis (linear algebra)

Tracking (education)

Motion system

Tracking error

10.1109/ddcls58216.2023.10165915

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Design of a trajectory contour controller for a dual‐axis precision motion stage based on improved iterative learning

IET Control Theory and Applications (2023)

Xiyou Chen Tao Zhang Bolun Wang Jingzhe Fang Hongyu Yan

Abstract To solve the problem of contour error (CE) arising from the dual‐axis coupling of the X – Y coordinate planar motor stage under reciprocating motion conditions in integrated circuit (IC) manufacturing, the following two perspectives are considered: indirect intervention from a single‐axis servo tracking error (TE) control and direct intervention from a dual‐axis cross‐coupling control (CCC). An improved motion controller is designed using the iterative learning control (ILC) principle in conjunction with the motion characteristics of the dual‐axis mechanism. Specifically, the variable gain iterative learning controller with a variable forgetting factor (VFF‐VGILC) is designed to address the characteristics of single‐axis trajectory repetition and variable velocity planning in dual‐axis coupling. The significance of the VFF‐VGILC is to increase the servo control bandwidth of a single axis. On the other hand, the cross‐coupled iterative learning controller (CCILC) is designed on the dual‐axis cross‐coupling, while a pre‐compensation strategy is introduced in the CCC structure to form the pre‐CCILC. After experimental designing and testing are performed, the X – Y coordinate planar motor stage can effectively reduce the CE under various trajectory movements compared with the traditional controller. The trajectory curves drawn can meet the motion control requirements better and effectively enhance the motion control capability of the mechanism.

Iterative Learning Control

Feed forward

Tracking error

10.1049/cth2.12472

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Citations (6)

Fast Realization of Robot 3D Simulation Based on WebGL

2022 34th Chinese Control and Decision Conference (CCDC) (2023)

Tao Zhang Xintong Wang Yun Teng Jingzhe Fang Yiqiang Zhang

As science and technology have advanced, an increasing number of people are focusing their study on 3D robot simulation. The 3D quick simulation of the mechanical arm can be achieved using 3D modeling software and Three.js. Use the third-party WebGL library Three.js ^[1] to construct the simulation scenario, then interact with and render the 3D scene and 3D robot model directly on the Web, which is easier and faster than downloading plug-ins ^[2] . This essay briefly explains the benefits and applicability of Three.js in the creation of 3D virtual simulations, then goes on to discuss the quick implementation process of 3D robot simulations before summarizing the building technique.

Upload

Realization (probability)

Solid modeling

3d model

3D modeling

Plug-in

10.1109/ccdc58219.2023.10326909

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Underwater Target Recognition Method Based on Domain Adaptation

2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI) (2021)

Boying Zhang Jingzhe Fang Zi’ao Ma

In this paper, a deep multi-core metric domain adaptation algorithm suitable for underwater target recognition, which introduces divergence deviation metric and multi-core technology, is proposed. In particular, the maximum mean difference is used for the metric distribution distance difference, and only the first-order statistics of the data distribution is considered. When the data distribution difference is large, the distance metric function is sensitive to the choice of the kernel function. An improved algorithm, converts the sonar signal into a spectrogram through sound imaging technology, is presented. It uses a large number of sample data in the source domain to assist the target domain to train the classifier, which can effectively improve the classification accuracy. The proposed algorithm also solves the problems of insufficient consideration of data distribution, and is suitable for different data distributions. Experiments verify the performance advantages of the algorithm.

Spectrogram

Divergence (linguistics)

Kernel (algebra)

10.1109/prai53619.2021.9551050

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Citations (2)

Position Control of X-Y Precision Motion Stage Based on Iterative Learning and Model Prediction

2022 34th Chinese Control and Decision Conference (CCDC) (2024)

Guopeng Zhang Tao Zhang Qingxin Li Li Chen Hualiang Zhang

Iterative Learning Control

Position (finance)

10.1109/ccdc62350.2024.10587893

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Path-tracking of Mobile Robot Using PD-type Iterative Learning Control with Forgetting Factor

2022 34th Chinese Control and Decision Conference (CCDC) (2023)

Tao Zhang Jingzhe Fang Yun Teng Xintong Wang Yiqiang Zhang

In this paper, a discrete iterative learning control strategy is proposed for the path-tracking problem of mobile robot trajectory tracking with repeated trajectories. The algorithm adds the forgetting factor to the PD-type discrete iterative learning control and considers the correction of the initial state of the control. The convergence of the algorithm is proved rigorously by using the paradigm theory, and the sufficient conditions of the paradigm form to make the algorithm converge are obtained. Finally, the effectiveness of the proposed algorithm is verified by simulation.

Iterative Learning Control

Tracking (education)

Factor (programming language)

10.1109/ccdc58219.2023.10326632

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Citations (1)