Article
Engineering, Aerospace
Mirko Leomanni, Renato Quartullo, Gianni Bianchini, Andrea Garulli, Antonio Giannitrapani
Summary: This paper addresses the trajectory planning problem for autonomous rendezvous and docking between a controlled spacecraft and a tumbling target. It proposes the use of a variable planning horizon and solving a finite number of linear programs to effectively tackle the nonconvex optimization problem. Simulation results demonstrate that this method is able to generate optimal trajectories at a lower computational cost.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2022)
Article
Engineering, Aerospace
Lucas Santaguida, Zheng H. Zhu
Summary: This paper presents the development of planar air-bearing microgravity simulators with a 3-DOF robotic manipulator for autonomous spacecraft tracking, rendezvous, and capture control. The experiments successfully demonstrated that the testbed could be used to study autonomous spacecraft rendezvous and capture a tumbling spacecraft by a robotic manipulator in a space-like testing environment.
Article
Automation & Control Systems
Dongting Li, Rui-Qi Dong, Yanning Guo, Guangtao Ran, Dongyu Li
Summary: This article introduces a line-of-sight (LOS)-Euler rendezvous and docking (RVD) framework for docking with a tumbling target under various RVD constraints. The framework uses a double-loop control scheme to control the chaser's position and attitude to track the target's docking port and rotation. The proposed framework linearly describes the complex couplings between the position and attitude control and the RVD constraints.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Mathematics
Jing Sheng, Yunhai Geng, Min Li, Baolong Zhu
Summary: This paper investigates the problem of a finite-time contractive control method for a spacecraft rendezvous control system. The dynamic model of relative motion is formulated using the C-W equations. To improve the convergent performance, a finite-time contractive control law is introduced. The existence condition of the desired controllers is obtained using Lyapunov's direct method, and the controller parameter can be obtained using the cone complementary linearization algorithm. A numerical example is provided to verify the effectiveness of the theoretical results obtained.
Article
Engineering, Aerospace
Mi Wang, Huai-Ning Wu
Summary: This article studies the autonomous game control problem for spacecraft rendezvous by using the adaptive perception and interaction. It proposes an autonomous game control method for spacecraft a by formulating the rendezvous system as a two-player linear quadratic differential game with unknown intent of spacecraft o, and using the adaptive perception and interaction. The method removes the requirement for knowing the intent of spacecraft o, relaxes the persistent excitation condition in traditional adaptive estimation methods, and guarantees the asymptotic stability of the rendezvous system.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Aerospace
Kaikai Dong, Jianjun Luo, Daniel Limon
Summary: This study proposes a novel, safe, and stable-by-design model predictive control framework for multistage autonomous rendezvous and docking. The framework combines trajectory planning and control in a single layer, improving real-time performance of the algorithm.
Article
Automation & Control Systems
Dayong Hu, Shijie Zhang, An-Min Zou
Summary: This article addresses the problem of velocity-free fixed-time attitude cooperative control for multiple spacecraft under directed communication graphs and in the presence of bounded disturbances. A distributed fixed-time state observer and fixed-time extended-state observer are designed for accurate estimation, leading to a distributed fixed-time attitude cooperative control scheme proposed to track a time-varying reference attitude. The use of Homogeneous Lyapunov function and homogeneity property guarantees that the control scheme can converge the attitude tracking errors to the origin in fixed time, independent of initial conditions.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Engineering, Aerospace
Caroline Specht, Abhiraj Bishnoi, Roberto Lampariello
Summary: As the concentration of large space debris increases, how to plan and execute rendezvous maneuvers involving these freely tumbling bodies is evolving. This paper presents an extension of the TRACE pipeline used in the ROAM/TumbleDock Astrobee experiment campaign, which offers logical loop-back avenues and increases the chances of a successful maneuver. The pipeline's performance is analyzed in simulation, utilizing target state estimates, online motion planning, and tube-based model predictive control.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2023)
Article
Automation & Control Systems
Zhe Zhang, Huaiyuan Jiang, Xuefei Yang
Summary: A smooth periodic delayed feedback (SPDF) control scheme is proposed for the fixed-time stabilization problem of linear periodic systems subject to input delay. The proposed controller can achieve fixed-time stabilization of linear periodic systems with arbitrarily long yet bounded input delays under the condition of uniformly complete controllability. The effectiveness of the established method is verified through numerical simulations.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Rui Chang, Qingxuan Jia, Ming Chu
Summary: This paper presents a method to address the challenges of non-cooperative target capturing in space robot tasks. By establishing a contact force model and proposing a new control methodology, the control performance of the attitude control systems of space robots can be improved, achieving stabilization control.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Engineering, Aerospace
Jianfa Wu, Chunling Wei, Haibo Zhang, Yiheng Liu, Menghua Zhang, Honglun Wang
Summary: A learning-based spacecraft reactive anti-hostile-rendezvous (AHR) maneuver control framework is proposed in this paper for rapid, safe, and optimal avoidance in complex threat situations. The framework utilizes deep reinforcement learning (DRL) and multi-agent DRL (MADRL) methods to optimize the IFDS parameters and control the avoidance time and directions. A progressive agent training mechanism is also introduced to improve training efficiency and enhance the generalization ability of orbital game strategies.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Engineering, Aerospace
Yu-chen Zhang, Meng-chen Ma, Xiao-Yan Yang, Shen-min Song
Summary: This study addresses the problem of fixed-time control for the autonomous proximity of non-cooperative targets with various constraints and disturbances. A 6-DOF relative motion model is constructed, and a fixed-time disturbance observer is proposed to estimate system disturbances using a radial basis function neural network. An adaptive fixed-time controller based on the back-stepping technique is designed to stabilize the relative error system with full-state constraints. The proposed controller guarantees fixed-time stability regardless of the constraints, and simulation scenarios validate its effectiveness and robustness.
Article
Automation & Control Systems
Chunting Jiao, Lin Zhang, Xiaojie Su, Fangzheng Xue, Bin Liang
Summary: An autonomous capture framework for a tumbling target satellite with a space manipulator is proposed in this study. The framework addresses the motion and attitude deviations of the target by constructing a motion model and introducing a predictive motion control method. Different autonomous capture strategies, including non-fixed-point position-based and area-based capture, are proposed to capture different parts of the target for practical applications. The framework is tested and validated through simulations, providing alternatives for practical autonomous capture processes.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Engineering, Aerospace
Yufeng Gao, Dongyu Li, Shuzhi Sam Ge
Summary: This article proposes a method to improve control performance and reduce energy consumption for the short-range relative motion of the on-orbit service spacecraft during rendezvous and docking missions. By using time-synchronized stability and fixed-time-synchronized stability controllers, the system trajectory tends to a straight line, suppressing redundant motion components and reducing energy loss. Furthermore, the article introduces the linear combination theorem of the ratio persistence property, enriching the theoretical tools for the time-synchronized control method.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Ruizhou Cheng, Zhengxiong Liu, Zhiqiang Ma, Panfeng Huang
Summary: The use of space robots for on-orbit servicing provides an effective means of reducing the angular velocity of failed spacecraft for capture. Through the strategy of flexible brush-type contact detumbling under teleoperation control, the system successfully decreases the angular velocity of the failed spacecraft, making it suitable for capture.
Article
Engineering, Multidisciplinary
Xin Liu, Jian Yang, Lei Guo, Xiang Yu, Shanpeng Wang
Summary: This paper introduces a bioinspired polarization-based attitude and heading reference system (PAHRS) inspired by the sensory fusion mechanism of insects, which integrates a compound eye polarization compass and inertial measurement unit (IMU) to enhance environmental adaptability and accuracy. Experimental results demonstrate good performance of the system under different weather conditions.
BIOINSPIRATION & BIOMIMETICS
(2021)
Article
Automation & Control Systems
Songyin Cao, Lei Guo, Zhengtao Ding
Summary: This article proposes an event-triggered anti-disturbance attitude control approach for rigid spacecraft with multiple disturbances. By designing a disturbance observer to estimate the modeled disturbance, the proposed controller guarantees ACS convergence and avoids continuous communication and Zeno phenomenon. Simulation results demonstrate the efficiency of the proposed approach.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Wenshuo Li, Bo Tian, Xin Liu, Lei Guo
Summary: This paper introduces a new method for state estimation of nonlinear/non-Gaussian systems, utilizing disturbance observer and skew-t distribution to improve resilience against disturbances and sampling efficiency.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Editorial Material
Computer Science, Information Systems
Guanrong Chen, Sergej Celikovsky, Lei Guo, Youmin Zhang, Tiancheng Li
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
(2021)
Article
Automation & Control Systems
Yuhan Xu, Chenliang Wang, Jianzhong Qiao, Lei Guo
Summary: This paper introduces a novel strategy for controlling the safe rendezvous between spacecraft and spherical envelops, by decoupling the dynamics of relative distance and relative angles, and designing a nonlinear disturbance observer and anti-disturbance controllers to ensure system positivity and stability.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Engineering, Aerospace
Xiang Yu, Yukai Zhu, Jianzhong Qiao, Lei Guo
Summary: This article emphasizes the importance of antidisturbance control in engineering systems and introduces an Enhanced Antidisturbance Control (EADC) method, using spacecraft attitude control as an example. The EADC approach integrates disturbance observer-based control (DOBC) and active disturbance rejection control (ADRC), providing superior disturbance rejection capabilities and quantifiable control performance.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Yangyang Cui, Yongjian Yang, Yukai Zhu, Jianzhong Qiao, Lei Guo
Summary: This paper proposes a composite velocity-tracking control scheme to improve the dynamics response and control accuracy of the flexible gimbal system. The development of HOVC and utilization of RDO are key factors in enhancing the system's performance, as demonstrated through rigorous theoretical analysis and experimental studies.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Automation & Control Systems
Yuan Yuan, Lei Guo, Huaping Liu
Summary: This article investigates the cooperative control problem for the nonlinear multiagent system, introducing a composite control strategy that integrates model predictive control and integral sliding-mode control methods. Sufficient conditions are established to guarantee the cooperative behavior of the system under a stochastic communication protocol scheduling. Numerical simulations on satellites are conducted to verify the effectiveness of the proposed methodology, demonstrating recursive feasibility and mean-square practical stability with selected MPC parameters.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Wenshuo Li, Lei Guo
Summary: This article proposes a robust particle filtering approach named VBAKF-PF, which can handle additive time-varying uncertainty and inaccurate process noise covariance matrices in nonlinear systems. Compared with traditional methods, VBAKF-PF demonstrates enhanced robustness.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Yijia Xie, Jianzhong Qiao, Xiang Yu, Lei Guo
Summary: This article proposes a novel composite hierarchical anti-disturbance method that can effectively handle disturbances in fast and slow subsystems, improving the performance of the control system.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Wenshuo Li, Bo Tian, Jianzhong Qiao, Lei Guo
Summary: This article addresses the problem of estimating quasiperiodic disturbances in dynamic control systems without prior knowledge of the frequency. A novel expectation-maximization (EM) framework is proposed, along with an online EM algorithm for recursive frequency estimation.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Artificial Intelligence
Bo Tian, Chenliang Wang, Lei Guo
Summary: This article introduces a novel composite hierarchical antidisturbance control algorithm aided by information-theoretic learning. It is suitable for non-Gaussian stochastic systems. The algorithm controls the system in time-domain intervals, using an integrated feedforward compensation and feedback control strategy.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
Xiaobin Zhou, Xiang Yu, Kexin Guo, Sicheng Zhou, Lei Guo, Youmin Zhang, Xiaoyan Peng
Summary: This article addresses the safety control problem of a quadrotor UAV in the presence of actuator faults and external disturbances. It proposes a control scheme based on the quantization of system capability and safety margin, which includes the construction of a trajectory function and a retrofit dynamic surface control. Simulation and experimental studies demonstrate the efficiency of the proposed scheme.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Kexin Guo, Shangke Lyu, Xiang Yu, Jianzhong Qiao, Lei Guo, Youmin Zhang
Summary: This article introduces a fault-tolerant control scheme for nonlinear systems with the assistance of a single-hidden-layer feedforward network. The upper bounds of unknown functions are approximated by SLFNs with adaptive techniques, and a sliding mode control approach is used to address control input constraints. Simulation results demonstrate the effectiveness of the proposed FTC scheme for a nonlinear Boeing 747 aircraft model.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Engineering, Electrical & Electronic
Zhenbing Qiu, Lei Guo
Summary: In this article, a new, adaptive and robust nonlinear Kalman filter is proposed to address the challenges in spacecraft attitude estimation. The filter is derived by minimizing the constrained cost function to achieve optimal filter gain, showing better performance in terms of robustness and estimation accuracy in comparison to state-of-the-art algorithms for low-orbiting spacecraft attitude estimation.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
