Article
Automation & Control Systems
Chaohai Yu, Jie Ma, Huihui Pan, Michael V. Basin
Summary: An adaptive iterative learning constrained control method for a linear-motor-driven gantry stage is proposed in this article. It successfully addresses the practical state and input constraints of the gantry stage and avoids the difficulties of accurate modeling. Through iterative learning and backstepping collaborative design, the proposed method achieves system stability without prior knowledge of the system dynamic model and parameters. Experimental results on a linear-motor-driven gantry stage demonstrate the efficacy of the method.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Huijun Gao, Yanbin Liu, Weichao Sun, Xinghu Yu
Summary: This paper proposes a novel approach to improve control performance of dual-linear-motor-driven gantry stages (DLMDGS) by considering rotation suppression of the crossbeam. A high precision robust control scheme based on the wavelet series approximation method is developed to achieve high tracking performance. An on-line adaptive feed-forward compensation law is designed to enhance tracking precision and inhibit crossbeam rotation by analyzing the forces applied to the stage and approximating the unknown dynamics. The stability of the system under the proposed control scheme is demonstrated using the Lyapunov method, and comparative tests on a real system validate the effectiveness of the proposed method.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Bin Zhang, Weiwei Shang, Shuang Cong, Zhijun Li
Summary: This article proposes a novel dual-loop dynamic control scheme for high-precision position control in cable-driven parallel robots. The scheme consists of a tension control loop and a position control loop, with offline tension distribution and robust synchronization method to ensure accurate control. The experiments demonstrate that the proposed scheme significantly reduces tracking errors, while maintaining cable tension and exhibiting strong disturbance rejection ability.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Yanbin Liu, Weichao Sun, Concettina Buccella, Carlo Cecati
Summary: In this article, a robust control scheme with adaptive neural network identification is designed for contouring control of the dual-linear-motor-driven gantry system. The method improves upon existing approaches by considering rotational dynamics and uncertainties and avoids the imperfections of previous methods based on tracking control under the global task coordinate frame. Experimental results verify the effectiveness and superiority of the proposed velocity-based contouring control method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Pengwei Shi, Weichao Sun, Xuebo Yang, Imre J. Rudas, Huijun Gao
Summary: This paper proposes an adaptive robust synchronous control scheme based on an improved master-slave structure, which is not only simple in structure but also easy to implement in engineering. The established error dynamics model compensates for the lag of response of traditional master-slave control and improves the stability of the closed-loop system. Online parameter adaptive algorithms deal with parameter uncertainties, while robust control deals with unmodeled dynamics and external disturbances. Additionally, nonlinear cogging force compensation is applied to improve control accuracy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Zhitai Liu, Weiyang Lin, Xinghu Yu, Juan J. Rodriguez-Andina, Huijun Gao
Summary: This article proposes an approximation-free robust synchronization control scheme for dual-linear-motors-driven systems. It achieves high-precision tracking and synchronization performance without requiring explicit system model, reducing computational burden and complexity. The concept of prescribed performance is adopted to guarantee control effect and state constraints.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Physics, Multidisciplinary
Hanjun Xie, Qinruo Wang
Summary: The application of precision dual-drive gantry stages in intelligent manufacturing is increasing. However, the inconsistency of loads on the dual-drive motors due to the movement of heavy loads on the horizontal crossbeam affects the machining accuracy of the gantry stage. This paper proposes a novel optimal synchronization control algorithm based on model decoupling to solve the problem. Experimental results demonstrate the effectiveness and superiority of the proposed algorithm.
Article
Automation & Control Systems
Xinyu Yang, Xingjian Wang, Shaoping Wang, Kunlun Wang, Muhammad Baber Sial
Summary: The dual-motor servo system needs to meet strict safety and reliability requirements. However, factors such as transmission backlash, parameter drift, and motor dynamic characteristic differences can degrade the system's performance. This study proposes a finite-time tracking and synchronization control method to overcome these factors and compensate for time-varying uncertainties. The proposed controller guarantees high control performance by synchronizing speed and acceleration states, eliminates force fighting caused by motor dynamic differences, and ensures tracking error convergence in finite time. The stability and effectiveness of the proposed controller are proven through simulations.
Article
Engineering, Electrical & Electronic
Litong Lyu, Xiao Liang, Jingbo Guo
Summary: A complete dynamics model of the dual-cylinder lifting gantry is constructed in this study, and a two-level synchronization control scheme is designed to coordinate the dual cylinders and keep the rotational angle of the crossbeam within a small range, achieving high-precision motion tracking performance and simultaneous high-level synchronization of dual cylinders.
Article
Chemistry, Analytical
Tingting Zhao, Jiaheng Shi, Junhao Wang, Yanyun Cui, Yifan Yang, Shenghao Xu, Xiliang Luo
Summary: A DNA sensing platform with endogenous stimuli-responsive and ultrasensitive characteristics, incorporating a logic gate biocomputation, has been developed for precise cell subtype identification in disease diagnosis and prognostic estimation.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Tingting Zhao, Jiaheng Shi, Junhao Wang, Yanyun Cui, Yifan Yang, Shenghao Xu, Xiliang Luo
Summary: Developing an endogenous stimuli-responsive and ultrasensitive DNA sensing platform that contains a logic gate biocomputation for precise cell subtype identification holds great potential for disease diagnosis and prognostic estimation.
ANALYTICAL CHEMISTRY
(2023)
Article
Engineering, Electrical & Electronic
Lulu Li, Yifan Sun, Jianquan Lu, Jinde Cao
Summary: This paper focuses on the synchronization control issue of networked systems, proposing a dynamic quantizer and estimator to deal with imprecise information sharing in imperfect network environments. By utilizing an event-based communication scheme to control estimate errors, exact synchronization is achieved, with distributed design provided for improved feasibility. Practical synchronization results are derived and validated through numerical examples.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Automation & Control Systems
Daixin Fu, Lingyi Wang, Guanlin Lv, Zhengyu Shen, Hao Zhu, W. D. Zhu
Summary: This paper provides a comprehensive review of dynamic load identification methods based on data-driven techniques. It covers two aspects: load localization and load reconstruction, and discusses various data-driven techniques. Additionally, the paper offers insight into the challenges and prospects of the data-driven techniques for dynamic load identification.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Electrical & Electronic
Jieji Zheng, Xin Xie, Ruoyu Tan, Lingyu Chen, Baoyu Li, Dapeng Fan
Summary: In this paper, a high-precision dynamic model of the DMPTM is proposed based on the detailed linear model of the single components. The accuracy of the model is verified through experimental validation.
Article
Polymer Science
Kai Li, Haiyang Wu, Biao Zhang, Yuntong Dai, Yong Yu
Summary: Self-oscillating coupled machines have the advantages of absorbing energy from the external environment and maintaining their own motion, contributing to the exploration of synchronization and clustering. This paper constructs a coupling and synchronization model of two self-oscillators connected by springs based on a thermally responsive LCE spring self-oscillator in a linear temperature field. The results show that the system exhibits two synchronization modes: in-phase mode and anti-phase mode, and the work done by the driving force compensates for the damping dissipation of the system, maintaining self-oscillation.
