Article
Automation & Control Systems
Hao Liu, Yu Tian, Frank L. Lewis
Summary: This study addresses the robust time-varying formation control problem for a group of satellites, proposing a formation flying controller using static state feedback control strategy and disturbance estimation theory to achieve satellite attitude consensus and desired formation patterns and trajectories. The robustness analysis shows that the trajectory and attitude tracking errors of the global closed-loop control system can converge into a given neighborhood of the origin in a finite time. Numerical simulation results validate the effectiveness and advantages of the proposed formation flying controller.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Computer Science, Information Systems
Michele Pierallini, Franco Angelini, Riccardo Mengacci, Alessandro Palleschi, Antonio Bicchi, Manolo Garabini
Summary: This paper investigates the trajectory tracking problem using iterative learning control for continuous-time nonlinear systems, proposing a robust convergence condition to address issues such as inaccurate model knowledge and disturbances. The effectiveness of the method is validated through simulations on dynamic systems with elastic joints and a Panda manipulator.
Article
Engineering, Aerospace
Ahmed Mahfouz, Gabriella Gaias, D. M. K. K. Venkateswara Rao, Holger Voos
Summary: This paper addresses the problem of autonomous optimal absolute orbit keeping for a satellite mission in Low Earth Orbit using electric propulsion. By developing an attitude guidance algorithm specific for orbit maneuver and a Model Predictive Control scheme, the optimal guidance profiles for satellite state, reference attitude, and thrust magnitude are obtained.
Article
Engineering, Electrical & Electronic
Ruoqi Deng, Boya Di, Lingyang Song
Summary: The article discusses a downlink ultra-dense LEO-based multi-terminal satellite system using a dense satellite constellation to achieve high channel capacity. The research explores how satellite distribution and formation size affect channel capacity, with simulation results confirming theoretical analysis. The findings apply to both single-antenna and general multi-antenna satellite cases.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Automation & Control Systems
J. Zhou, R. Huang, H. Q. Huang
Summary: The controllable formation control of second-order integral multi-agent networks with single virtual leaders is achieved by incorporating time-varying weighting matrices into flocking algorithms. The study examines the dynamics and controllability of multi-agents, including formation into lattice structures, manipulation of kinematic features, and trajectory tracking control.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Kai Zhang, Bin Zhou, Huaiyuan Jiang, Guangren Duan
Summary: This article investigates the finite-time output regulation problem for linear time-invariant continuous-time systems and designs three linear time-varying state controllers to solve this problem. The developed controllers are proven effective in the design of a satellite formation flying control system.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Chemistry, Multidisciplinary
Yule Gui, Qingxian Jia, Huayi Li, Yuehua Cheng
Summary: This paper investigates the issues of iterative learning algorithm-based robust thruster fault reconstruction and reconfigurable fault-tolerant control for spacecraft formation flying systems subject to space perturbations. A novel iterative learning observer (ILO) was developed to robustly reconstruct the thruster faults. Based on the fault signals obtained from the ILO, a learning output-feedback fault-tolerant control ((LOFTC)-T-2) approach was explored to accurately maintain the closed-loop spacecraft formation configuration in the presence of space perturbations and thruster faults.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Aerospace
Jianqing Li, Liangming Chen, Ming Cao, Chaoyong Li
Summary: This article investigates a practical formation control problem of a multisatellite system. A formation control scheme using only angle measurements is proposed to form the desired configuration. The stability of the determined final configuration is guaranteed by utilizing the sum of interior angles of polygons being a constant. The proposed formation control law does not require inter-satellite relative positions and knowledge of the communication topology.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Aerospace
Zengfu Wang, Jiarui Tian, Jing Fu
Summary: We aim to minimize or balance fuel consumption in the satellite formation reconfiguration process within a fixed orbit transfer time. Regardless of the initial state, the formation will eventually result in an in-plane formation. We consider constraints such as relative motion equation, initial and terminal states, collision avoidance, and maximum thrust. By introducing an unknown offset in the terminal state and using a convex-programming-based iterative approach, we successfully optimize both fuel usage and the offset of the formations, outperforming benchmarks in all numerically tested situations.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Deyuan Meng, Jingyao Zhang
Summary: This article introduces a system equivalence transformation method for robust iterative learning control, addressing the contradiction in convergence conditions and simplifying the control of system signals while ensuring the convergence of output tracking errors. Simulation examples are provided to validate the established robust ILC results.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Engineering, Aerospace
Dayong Hu, Xiangtian Zhao, Shijie Zhang
Summary: This paper addresses the coordinated control problem for Spacecraft Formation Flying (SFF) and proposes an image-based controller that utilizes feature points for spacecraft relative motion. The controller integrates adaptive techniques to handle uncertainties in the system dynamics and improve the precision of the formation configuration.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Geochemistry & Geophysics
De-Lei Chen, Lei Zhang, Hua Huang
Summary: This article proposes a novel model for extracting low-resolution airplanes from satellite videos and enhances their resolution using a reflective symmetry shape prior. Experimental results demonstrate the effectiveness of the method.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Automation & Control Systems
Mohammad R. Izadi, Ali Shakib, Saman Saki
Summary: This article presents a robust H-infinity state feedback control method to deal with the input saturation in satellite formation flying position control. The proposed control law effectively handles parametric uncertainties, un-modeled dynamics, and disturbances from atmospheric drag and non-spherical mass distribution of the Earth.
The method demonstrates good performance in numerical simulations.
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION
(2021)
Article
Automation & Control Systems
Pingli Lu, Qing Jiang, Ye Tian, Haikuo Liu, Changkun Du
Summary: This paper investigates the finite-time time-varying formation-containment control problem for satellite formation flying under discontinuous control protocols based on nonsmooth analysis. Firstly, a finite-time time-varying formation-containment control strategy is proposed for satellite formation system in the presence of bounded disturbances and satellites' accelerations. Then, a fully distributed adaptive control strategy is proposed for inaccurate disturbance information and incomplete knowledge of satellites' accelerations in some practice application scenarios, which introduces dynamic variables to compensate for the unknown items and adjust with the evolution of neighbor satellites' states, making the controller more flexible.
INTERNATIONAL JOURNAL OF CONTROL
(2023)
Article
Environmental Sciences
Andrea Caruso, Alessandro A. Quarta, Giovanni Mengali, Marco Bassetto
Summary: This paper analyzes a problem in formation-flying missions where an inspector spacecraft is used to monitor the condition of the formation members and solves a rest-to-rest multiple-impulse transfer problem in an optimal framework. A case study demonstrates the efficiency of the proposed algorithm in finding a solution.
Article
Automation & Control Systems
Quoc Van Tran, Zhiyong Sun, Brian D. O. Anderson, Hyo-Sung Ahn
Summary: This article proposes a distributed optimization approach for graph matching over multiagent networks, using a convex relaxation and a projected primal-dual gradient method, achieving globally exponential convergence.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Weijia Zheng, YangQuan Chen, Xiaohong Wang, Yong Chen, Meijin Lin
Summary: In this paper, an enhanced fractional order sliding mode control (FOSMC) method is proposed to improve the control performance of fractional order uncertain systems with multiple mis-matched disturbances. The multiple disturbances and uncertainties are estimated by finite-time disturbance observers and a fractional order extended state observer. A fractional order switching law is designed for fast convergence of system states. The proposed method incorporates feedforward compensation, the fractional order switching law, and an auxiliary state for input saturation. Numerical examples and a motor speed control problem are used to demonstrate the effectiveness of the proposed method through performance comparisons with existing control methods.
Article
Automation & Control Systems
Weijia Zheng, YangQuan Chen, Xiaohong Wang, Meijin Lin, Jing Guo
Summary: Fractional order PID (FOPID) controller offers more flexibility in design options compared to integer order PID (IOPID) controller. However, in practical implementation, it is necessary to select achievable design specifications and controller parameters. This study collects and analyzes the complete achievable regions of design specifications and models the selectable integral and derivative orders of the FOPID controller. A synthesis method is proposed to achieve the desired flat-phase characteristic.
MEASUREMENT & CONTROL
(2023)
Article
Automation & Control Systems
Xinxin Shi, YangQuan Chen
Summary: This paper proposes a desired output tracking motion control scheme for a new type of self-made linear motor in the presence of parameter uncertainties and external disturbance. The effectiveness of the control scheme is verified through comparative simulations and experimental results, making it an effective way to achieve desired output tracking control performance in actual motion control engineering.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
(2023)
Article
Automation & Control Systems
Chuanfan Lu, Rongnian Tang, YangQuan Chen, Chuang Li
Summary: The article introduces a method for tuning the parameters of TID controller based on the synthesis of frequency and time-domain specifications, which helps to meet the requirements of systemic stability and robustness. Simulation and experimental results demonstrate the superiority of the proposed control tuning method.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Zhenzhen Lu, YangQuan Chen, Yongguang Yu, Guojian Ren, Conghui Xu, Weiyuan Ma, Xiangyun Meng
Summary: In this paper, a generalized SEIHRDP fractional-order epidemic model with individual migration is established. The global properties of the proposed system are studied, and the sensitivity of parameters to the basic reproduction number is analyzed both theoretically and numerically. Based on real data from India and Brazil, it is concluded that the bilinear incidence rate provides a better description of COVID-19 transmission. The proposed system can also better predict the next peak by considering multi-peak situations. Lastly, the spread of COVID-19 between cities can be effectively controlled by limiting individual movement, enhancing nucleic acid testing, and reducing individual contact.
Article
Mathematical & Computational Biology
Zhenzhen Lu, Guojian Ren, Yangquan Chen, Xiangyun Meng, Yongguang Yu
Summary: The purpose of this paper is to ensure the physical reasonableness of epidemic models with anomalous diffusion. The researchers introduced stochastic processes and fractional-order diffusion methods to successfully incorporate anomalous diffusion into epidemic models and explored different types of these models. Additionally, the paper used real data of COVID-19 to demonstrate the spatial transmission of infectious diseases.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS
(2023)
Article
Mathematics, Applied
Fudong Ge, YangQuan Chen
Summary: The paper solves the optimal regional control problem for a class of semilinear time-fractional diffusion systems with distributed feedback in a bounded domain. It discusses the well-posedness of the system, the differentiability of the control-to-state mapping, and proves the existence of optimal controls for the problem. The paper presents an approach to find the explicit expression of the optimal control formulae for associated problems and investigates a particular case of distributed controller.
FRACTIONAL CALCULUS AND APPLIED ANALYSIS
(2023)
Article
Neurosciences
Huan Zhao, Junxiao Xie, Yangquan Chen, Junyi Cao, Wei-Hsin Liao, Hongmei Cao
Summary: This study examines the distinctive gait differences of neurodegenerative diseases by extracting various features from vertical ground reaction force and time intervals. Comparative analysis using violin plot and Kruskal-Wallis test reveals the differences and regularities among Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease. The classification results show that the refined Lempel-Ziv complexity can significantly enhance the diagnosis accuracy when combined with basic features.
COGNITIVE NEURODYNAMICS
(2023)
Article
Automation & Control Systems
Zhenlong Wu, Donghai Li, Yanhong Liu, YangQuan Chen
Summary: This article investigates several improved active disturbance rejection control (ADRC) methods for high-order processes. The control performance of these methods, including input disturbance rejection and measurement noise rejection capabilities, is theoretically analyzed. It is proven that the improved ADRCs with the same parameters have the same measurement noise rejection capability. The effectiveness of MADRC and SLADRC is verified through simulations and experiments, with MADRC showing the best control performance and robustness. The successful field applications of MADRC further demonstrate its potential in complicated industrial processes.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Weijia Zheng, YangQuan Chen, Xiaohong Wang, Runquan Huang, Meijin Lin, Fang Guo
Summary: This paper proposes a fractional order sliding mode control (FOSMC) method for the control problem of permanent magnet synchronous motor (PMSM) speed servo system subject to multiple disturbances. By using an improved disturbance observer (DO) and an extended state observer (ESO), the lumped exogenous disturbances and uncertainties of the PMSM speed servo are estimated. A novel FOSMC law is developed by incorporating feedforward compensation and a fractional order switching law, improving tracking performance and robustness of the PMSM servo system.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
Xuefeng Zhang, Shun-Feng Su, Yang-Quan Chen
Summary: This paper investigates trajectory tracking control for autonomous surface vehicles with unknown dynamics and environmental disturbances. A novel adaptive fuzzy constrained control approach is proposed, which utilizes a new-type performance envelop and a singularity-free continuous control solution to achieve explicitly and freely preassigned settling time and accuracy of trajectory tracking. The fuzzy logic systems are employed to address unknown nonlinearities. The resulting control system possesses inherent robustness without disturbance observers or assuming derivative information. A comparative simulation verifies the effectiveness and superiority of the approach.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2023)
Article
Mathematics, Interdisciplinary Applications
Xuan Liu, He Gan, Ying Luo, Yangquan Chen, Liang Gao
Summary: Digital twins are applied in smart manufacturing for effective analysis, fault diagnosis, and system optimization of a physical system. This paper proposes a framework that applies a digital twin to industrial robots for real-time monitoring and performance optimization. The framework includes multi-domain modeling, behavioral matching, control optimization, and parameter updating. Experimental results show significant improvements in the time-domain performance of the industrial robot using the proposed framework.
FRACTAL AND FRACTIONAL
(2023)
Article
Engineering, Civil
Viet Hoang Pham, Hyo-Sung Ahn
Summary: In this paper, a stochastic model predictive control (MPC)-based traffic signal control method is designed for urban networks considering uncertain traffic model parameters. By formulating the traffic signal control and coordination problem as a quadratic program with linear and second-order cone constraints, the optimal stochastic traffic signal splits are found in a distributed manner using an Alternating Direction Method of Multipliers (ADMM) scheme. The effectiveness of the method is validated through simulations using VISSIM and MATLAB.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Mathematics, Interdisciplinary Applications
Yixiao Ding, Ying Luo, Yangquan Chen
Summary: This paper proposes a fractional order impedance controller for industrial robot manipulator control and presents a systematic FOIC parameters tuning strategy based on frequency-domain specifications. To improve performance under dynamic disturbances, a dynamic feedforward-based fractional order impedance controller is further developed. The effectiveness of the controller is verified through simulation and physical robot manipulator prototype, and the results show that the proposed FOIC achieves better control performance than an integer order impedance controller.
FRACTAL AND FRACTIONAL
(2023)
