Article
Automation & Control Systems
Panlong Tan, Mingwei Sun, Qinglin Sun, Zengqiang Chen
Summary: This study introduces the underactuated characteristics of the rotational-translational actuator system and proposes a new method to overcome this problem by constructing a new actuated state. By using a linear extended state observer, the lumped disturbance of the reconstructed model is estimated and compensated in real-time. Experimental results demonstrate the effectiveness of the proposed controller.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Xianqing Wu, Kexin Xu
Summary: This article investigates control issues of the translational oscillator with rotational actuator system in the presence of uncertain disturbances. It proposes a nonlinear disturbance observer and a global sliding mode control method for disturbance estimation and stabilization. The proposed methods are compared with existing control methods, showing continuous and global robustness with respect to disturbances.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
(2021)
Article
Engineering, Mechanical
Cheng Qian, Liuliu Zhang, Changchun Hua
Summary: This paper studies the vibration suppression control strategy for rolling mill systems under time varying delay, considering the nonlinear rolling force and disturbance during the dynamic rolling process. A hydraulic coupling vibration model is established based on the flow equation and Newton's second law. Meanwhile, a time-delayed coupling vibration state space model is introduced via choosing the appropriate state variables to account for the input delay caused by strip thickness measurement. The effectiveness of the proposed control algorithm is verified through numerical simulation results.
NONLINEAR DYNAMICS
(2023)
Article
Acoustics
Sinan Basaran, Fevzi Cakmak Bolat, Selim Sivrioglu
Summary: An active electromagnetic mass damper system was utilized to eliminate flow-induced vibrations in structural systems like wind turbines, with an adaptive backstepping control design predicting and suppressing wind load-induced vibrations. The proposed system successfully reduced system vibrations, making it suitable for flow-induced vibration damping in structural systems.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Automation & Control Systems
Tong Yang, Ning Sun, He Chen, Yongchun Fang
Summary: This article proposes an adaptive tracking controller for underactuated mechatronic systems, aiming to achieve accurate positioning/tracking control while minimizing control effort. By developing an auxiliary compensation term and a robust term, the proposed controller ensures convergence of both actuated and unactuated variables. The controller also incorporates an online approximation of the performance index function, making the stability analysis process more concise.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Review
Engineering, Aerospace
Xiaolei Jiao, Jinxiu Zhang, Wenbo Li, Youyi Wang, Wenlai Ma, Yang Zhao
Summary: The micro-vibration generated by disturbance sources on spacecraft has a significant impact on observation and imaging accuracy. Measures should be taken to isolate this micro-vibration, such as installing vibration isolation devices at the disturbance sources or payloads. We have summarized the development status of various types of micro-vibration isolation technologies and discussed their advantages, disadvantages, and application scope. Future development directions and challenges are proposed, aiming to provide a useful reference for researchers and engineers in the field of spacecraft micro-vibration isolation technology.
PROGRESS IN AEROSPACE SCIENCES
(2023)
Article
Automation & Control Systems
Jingjing Jiangand, Alessandro Astolfi
Summary: A novel method inspired by back-stepping, called underactuated back-stepping, is introduced to solve the stabilization problem for a class of nonlinear systems, specifically underactuated mechanical systems. The properties of resulting closed-loop systems are studied in detail, and case studies are provided to demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Xianqing Wu, Yijiang Zhao
Summary: This article presents a new disturbance estimator and nonsmooth control scheme for the translational oscillator with a rotational actuator system, showing better control performance and stronger robustness through theoretical analysis and simulation tests compared to existing methods.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
(2022)
Article
Engineering, Aerospace
Jinlong Zhang, Shaobo Lu, Luyi Zhao
Summary: This study investigates the vibration disturbance of solar array induced by drive and its impact on spacecraft platform. A vibration disturbance model considering both rigid-flexible coupling and drive unstable excitation is established, and an external torque compensation scheme is proposed for vibration suppression and driving reliability. It demonstrates that the vibration disturbance should be the main task for vibration control during sun-tracking drive, and the proposed torque compensation scheme effectively reduces the maximum disturbance torque by 68.75% during normal sun-tracking.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Automation & Control Systems
Rosana C. B. Rego, Fabio Meneghetti U. de Araujo
Summary: Learning-based neural network control methods can be applied to handle complex nonlinear systems, providing better solutions and stability guarantees.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Automation & Control Systems
M. Reza J. Harandi, Hamid D. Taghirad, Amir Molaei, Jose Guadalupe Romero
Summary: Designing control systems with bounded input is important due to physical systems' limitations with actuator saturation. Actuator saturation can degrade performance and even lead to stability loss. This article proposes a systematic framework for finding the upper bound of control effort in underactuated systems, considering actuator limits and velocity-related terms. The method is validated through simulations on two benchmark systems.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Engineering, Mechanical
Ronghui Zheng, Jinpeng Li, Huaihai Chen
Summary: This study presents theoretical and experimental investigations on multi-shaker planar translational and rotational non-Gaussian random vibration tests. A coordinate transformation technique is used to obtain the vibration responses of the test structure, and a new nonlinear transformation method for generating non-Gaussian random signals is proposed. The influence of elastic characteristics of the test structure on the response spectral densities is investigated and a level definition method for translational and rotational vibrations is proposed. The validity of the proposed methods is verified through a non-Gaussian random vibration test.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Chemistry, Physical
Shiuh-Chuan Her, Han-Yung Chen
Summary: This article proposes a theoretical model for predicting the vibrational response of a composite laminate plate induced by PZT actuators, and validates the model through finite element analysis. The study investigates the influences of PZT location and frequency on the vibration and explores the effectiveness of vibration suppression by distributed PZT actuators.
Article
Mechanics
Hongyu Zhu, Yan Zhao, Tao Qiu, Weiqun Lin, Xiaoqing Du, Haotian Dong
Summary: This paper numerically investigates the effects of rigid coupling and the vibration degrees of freedom on the vortex-induced vibrations (VIV) of two tandem circular cylinders for a spacing ratio L/D = 4 at a Reynolds number of 150. The dynamic response characteristics, flow structures, and vortex dynamics are analyzed. The results show that the rigid coupling has a significant effect on VIV, influencing the amplitude, lock-in region, and flow forces.
Article
Automation & Control Systems
Esteban Restrepo, Antonio Loria, Ioannis Sarras, Julien Marzat
Summary: We address the problem of output- and state-consensus for multiagent high-order systems in feedback form. We consider systems interconnected over arbitrary undirected topology networks, directed spanning-trees, and directed cycles. The systems may have output or state constraints and may be subject to external disturbances. We propose a control framework and a formal analysis that guarantee robust stability in the input-to-state sense. The control framework is based on a modified backstepping method, while the analysis relies on multistability theory. We apply our approach to a case-study on safety-aware rendezvous control of underactuated UAVs in the aerospace industry.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Yiming Wu, Ning Sun, He Chen, Yongchun Fang
Summary: This article proposes an adaptive output feedback control method for 5-DOF varying-cable-length tower cranes without linearizing the dynamic equations, achieving cargo hoisting/lowering, jib slew, trolley translation, and swing suppression. The method utilizes a virtual spring-mass system and a new adaptive law to estimate unknown cargo masses, providing rigorous stability/convergence analysis for the closed-loop system. Hardware experiment results are included for effectiveness/robustness verification.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Automation & Control Systems
He Chen, Ning Sun
Summary: This article focuses on the control problem of a 5 degrees of freedom offshore crane in 3-D space with persistent ship yaw and roll perturbations, and proposes an effective output feedback control method. The proposed method is the first control method designed for 5-DOF offshore cranes without any linearization, which only uses output signals. Experimental results validate the performance of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Tong Yang, Ning Sun, Yongchun Fang, Xin Xin, He Chen
Summary: This article proposes a new adaptive motion controller for robot manipulators, which ensures zero positioning errors and accurate gravity compensation, while satisfying specific motion constraints. The proposed controller is also extended for output feedback control without velocity measurement/numerical differential operations. By introducing a nonlinear auxiliary term, all links accurately reach their desired positions without exceeding preset constraints, while estimating the gravity vector online to eliminate static errors. The asymptotic stability of the system equilibrium point is strictly proven, based on the elaborately constructed Lyapunov function candidate. Compared with existing controllers, the designed control schemes have fewer control gain conditions, more concise closed-loop stability analysis, and higher safety satisfying specific constraints.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Mengyuan Li, He Chen, Ran Zhang
Summary: In this article, an adaptive fuzzy control law is proposed for the double pendulum crane with variable rope lengths to regulate the trolley displacement and rope length and suppress the hook's and payload's swing. The convergence of actuated state variables is analyzed and proven, and the elimination of the swing is further demonstrated. The hardware experiment results validate the performance of the proposed method.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
He Chen, Ran Zhang, Weipeng Liu, Haiyong Chen
Summary: With the rapid development of the economy, the use of offshore cranes in marine production as effective transportation tools is increasing. A time optimal trajectory planning method is proposed to address the challenges posed by the ship movement on the offshore crane system. By transforming the planning problems into flat output problems, considering physical constraints, and utilizing a bisection-based method, the optimal payload transportation time and corresponding time optimal trajectories are obtained. Simulation tests verify the effectiveness of the proposed method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Construction & Building Technology
Wa Zhang, He Chen, Xinya Yao, Delin Li
Summary: This paper focuses on the tracking control problem of double pendulum crane systems with payload hoisting/lowering. An effective adaptive tracking controller is proposed to achieve accurate tracking and double pendulum swing suppression objectives, as well as accurately estimate unknown gravity parameters.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Automation & Control Systems
Yiming Wu, Ning Sun, He Chen, Yongchun Fang
Summary: This article proposes a new adaptive dynamic output feedback control approach for double-pendulum ship-mounted cranes in the presence of unknown parameters and input constraints. The problems caused by unmeasurable velocities and noise magnification are addressed through adaptive gravitational compensation law and bounded functions.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Industrial
Mingdong Li, Shanhe Lou, Yicong Gao, Hao Zheng, Bingtao Hu, Jianrong Tan
Summary: Conceptual design is a crucial stage in new product development, and the function-behaviour-structure framework is adopted to aid designers in searching and generating conceptual solutions. Computer-aided methods within this framework facilitate cognitive activities and propose a cerebellar operant conditioning-inspired approach to solve the mapping process from behaviours to structures. A modularised constraint satisfaction neural network is constructed, inspired by the cerebellar structure, to determine the satisfiability of design problems and generate conceptual solutions by clustering embedded nodes. This approach imitates design constraint-driven operant conditioning, reducing design iterations and avoiding combinatorial explosions in conceptual design.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Marine
Ran Zhang, He Chen
Summary: This paper proposes a new adaptive tracking control method for offshore crane systems, which achieves accurate and fast transportation of payloads, reduces swing, and provides accurate gravity compensation. An elaborately designed adaptive estimation update law is used to ensure accurate online estimation of gravity-related parameters. Simulation results demonstrate the effectiveness of the proposed method.
Article
Automation & Control Systems
Tong Yang, He Chen, Ning Sun, Yongchun Fang
Summary: A new adaptive output-feedback controller is designed for a class of uncertain underactuated systems, ensuring all state variables are kept within preset ranges and converge to desired values by introducing a coupling term of actuated and unactuated constraints. This research provides the first solution to achieve accurate motion control and state constraints without exact model knowledge and velocity feedback, proving meaningful both theoretically and practically through detailed theoretical analysis and experimental validations on underactuated overhead and rotary cranes.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Mianjie Li, Chun Shan, Zhihong Tian, Xiaojiang Du, Mohsen Guizani
Summary: Visible Light Communication (VLC) is an emerging technology that can mitigate spectrum congestion, but faces security issues. This article proposes a VLC method using RGB LED and information hiding to enhance security. The method utilizes gammatone filter bank-based feature extraction and adaptive optimization-based dither modulation scheme for information hiding. Experimental results show the superiority of the proposed method compared to existing methods.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Automation & Control Systems
Tong Yang, Ning Sun, He Chen, Yongchun Fang
Summary: This article proposes an adaptive tracking controller for underactuated mechatronic systems, aiming to achieve accurate positioning/tracking control while minimizing control effort. By developing an auxiliary compensation term and a robust term, the proposed controller ensures convergence of both actuated and unactuated variables. The controller also incorporates an online approximation of the performance index function, making the stability analysis process more concise.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Proceedings Paper
Automation & Control Systems
Yue Wang, Zhengguo Zheng, Ning Sun, Tong Yang, He Chen, Zhuoqing Liu
Summary: An effective neuro-adaptive controller is designed for the control problem of the underwater flexible crane system, utilizing a two-layer neural network design without linearizing the nonlinear model, and proving the controller's effectiveness through Lyapunov stability theory. Simulation results verify that the proposed method can accurately reach the target position and effectively suppress the flexible payload's vibration.
IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
(2021)
Article
Computer Science, Information Systems
Wa Zhang, He Chen, Haiyong Chen, Weipeng Liu
Summary: In industrial crane systems, complex situations such as oversized payloads or obstacles may occur. This study proposes an optimal time trajectory planning method for double-pendulum crane systems, considering multiple physical constraints to ensure obstacle avoidance objectives and improve safety and transportation efficiency. The effectiveness of the proposed method is verified through simulations.
Article
Automation & Control Systems
Mengyuan Li, He Chen, Ran Zhang
Summary: Double pendulum effect in overhead crane systems can lead to control challenges, which are addressed in this article with an adaptive fuzzy control law. The method effectively regulates trolley displacement and rope length in variable length scenarios for improved efficiency and suppression of swings.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
