Article
Automation & Control Systems
Zhilong Yu, Yinghui Li, Binbin Pei, Maolong Lv, Wenfeng Xu
Summary: This article investigates the fault-tolerant attitude control problem for a tailless flying wing aircraft subject to various constraints and disturbances. A robust fault-tolerant control methodology is proposed to handle these issues and improve control system convergence rate. Simulation results demonstrate the effectiveness of the proposed scheme.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Yu Li, Xiaoxiong Liu, Ruichen Ming, Hongyuan Zhu, Weiguo Zhang
Summary: This paper investigates the flight dynamics of aircraft with wing asymmetric damage and proposes a fault-tolerant control framework to improve stability and flight quality. A high-fidelity nonlinear model for wing asymmetric damaged aircraft is developed, and the impact of damage on aircraft properties is analyzed. The study also explores trim strategies and presents a robust cascaded nonlinear fault-tolerant control framework to enhance stability and tracking performance. Experimental results demonstrate that the proposed control effectively overcomes wing asymmetric damage and improves the tracking performance of damaged aircraft.
Article
Engineering, Aerospace
Yueqi Hou, Maolong Lv, Xiaolong Liang, Aiwu Yang
Summary: This work investigates the fault-tolerant attitude tracking control problem for a tailless flying wing aircraft in the presence of external disturbance, uncertain parameters, and time-varying actuator failures. A fixed-time IT2 fuzzy fault-tolerant control scheme is proposed, which guarantees fixed-time convergence of all signals in the closed-loop system. The control allocation algorithm, based on a recurrent neural network, allocates the desired control torque to each control surface considering the magnitude and rate constraints of the actuators.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Automation & Control Systems
Zhen Li, Xin Chen, Mingyang Xie, Zhenhua Zhao
Summary: This paper presents an adaptive fault-tolerant attitude tracking controller based on reinforcement learning for a flying-wing unmanned aerial vehicle. The controller separates the attitude dynamic model into slow and fast dynamic subsystems, utilizes backstepping and Barrier Lyapunov techniques, and incorporates neural networks for optimization. The effectiveness of the control algorithm is proven through Lyapunov stability theory, demonstrating improved performance compared to traditional fault-tolerant controllers.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2022)
Article
Mathematics, Applied
Yuanqing Wang, Ning Xu, Yajuan Liu, Xudong Zhao
Summary: An adaptive neural fault-tolerant control strategy for a class of switched nonlinear systems subject to actuator fault is proposed in this article, using the command filter approach to approximate unknown nonlinear functions and estimate unmeasurable states. By applying the backstepping algorithm and average dwell time method, an adaptive NNs fault tolerant controller is developed to ensure signal boundedness within the system.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mechanics
Qi-Ming Wang, Li-Hao Feng, Xiao Li
Summary: Flying wing aircraft are prone to wing rock due to the lack of lateral-directional stability. This study proposes a control strategy using synthetic jet actuators to reduce wing rock amplitude for a flying wing model with a 65 degrees leading-edge sweep. The effects of angle of attack, Reynolds number, actuation position, voltage, and frequency on control are analyzed. The results demonstrate that synthetic jet actuators can effectively change the trim position of wing rock and improve flight control and safety.
Article
Engineering, Aerospace
Luis M. B. C. Campos, Joaquim M. G. Marques
Summary: This study examines the coupling of longitudinal and lateral stability modes in aircraft, comparing weak coupling and strong coupling cases. It finds that lateral-longitudinal coupling is typically small, allowing for the application of classical handling qualities criteria.
Article
Computer Science, Information Systems
Thomas R. Shearwood, Mostafa R. A. Nabawy, William J. Crowther, Clyde Warsop
Summary: This paper presents a novel control allocation method that allows conformal trailing-edge controls to generate yawing moments with no coupling, simplifying the required control suite. It demonstrates the method through modelling a coordinated roll manoeuvre of a tailless aircraft using trailing-edge flaps for yaw control only. Results show that a coordinated rolling manoeuvre can be achieved with a reduced control deflection compared to non-conformal controls.
Article
Automation & Control Systems
Shuyan Zhou, Yongduan Song
Summary: This article investigates neuroadaptive tracking control for a family of unknown MIMO nonlinear uncertain systems subject to extreme actuation failures. By integrating neural network approximation technique with error transformations, a fault-tolerant control strategy is developed to handle extreme actuation faults and force tracking error to converge to a predefined boundary within a specified settling time.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Mechanical
Zhilong Yu, Yinghui Li, Maolong Lv, Binbin Pei, Wenfeng Xu
Summary: This article investigates the flight path tracking control problem for tailless aircraft under uncertain parameters and actuator faults. A 6-degree-of-freedom rigid model with switched dynamics and nonaffine actuator faults is established. The control problem is divided into outer-loop flight path control and inner-loop attitude and angular velocity control. An incremental nonlinear dynamic inversion controller is designed for outer-loop control, and a backstepping-based finite-time composite adaptive neural controller is developed for inner-loop control. The proposed control scheme effectively tracks the desired flight path and stabilizes the inner-loop system in finite time.
NONLINEAR DYNAMICS
(2023)
Article
Chemistry, Multidisciplinary
Huitao Lyu, Yong Yin, Zheng Gong, Yongliang Chen, Yalei Bai, Xueqiang Liu
Summary: This paper proposes a short-landing strategy for a flying-wing unmanned aircraft using mixed control methods and considering environmental disturbances and model uncertainties. The strategy incorporates lift fans, thrust vectors, and aerodynamic control surfaces for control. Trim analysis is used to determine the command values of velocity and angle of attack for ensuring flight safety, and a flight boundary protection method is employed to increase the probability of successful landing. A Monte Carlo simulation is conducted to evaluate the effectiveness and robustness of the strategy, with landing accuracy assessed using the circular error probability metric.
APPLIED SCIENCES-BASEL
(2023)
Article
Acoustics
Shiqi Gao, Jinkun Liu
Summary: This study investigated the vibration control problem in a flexible aircraft wing system with unknown loss of actuator effectiveness fault and loss of sensor effectiveness fault. An adaptive fault-tolerant boundary controller was designed to ensure globally uniformly bounded signals and asymptotic convergence of the controlled state in the closed-loop control system. Numerical simulations were conducted to validate the proposed control scheme.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Mechanics
Jiachen Zhu, Zhiwei Shi, Xi Geng, Junquan Fu, Sinuo Chen, Yongliang Chen
Summary: This study investigated the vortex breakdown characteristics of a flying wing aircraft under jet flow control through numerical simulation and proposed a design idea of jet excitation selection based on the natural helical mode frequency of the aircraft. The results showed that the control method of unsteady excitation had more advantages under the same jet momentum coefficient. The control effect of excitation frequency within the range of helical mode instability frequency was generally better than that outside the helical mode. When the excitation frequency was consistent with the peak value of the main frequency of the upstream helical mode, the optimal control effect was obtained, which had the most supplement to the axial velocity and obvious suppression effect on the separation zone.
Article
Automation & Control Systems
Yu Ziquan, Zhang Youmin, Jiang Bin
Summary: This paper presents a fault-tolerant control design for a faulty UAV, employing PID control concept and a composite learning algorithm. Results show that tracking errors are strictly constrained within specified bounds, confirming the feasibility of the developed FTC scheme.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2021)
Article
Acoustics
Xusheng Mu, Rui Huang, Qitong Zou, Haiyan Hu
Summary: This paper proposes a machine learning-based control law design approach to address the challenge of synthesizing controller parameters for high-dimensional aeroservoelastic systems. By training the policy for synthesizing optimal controller parameters, this approach improves controller performance and demonstrates its application in flexible aircraft flutter suppression.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Automation & Control Systems
Shaojie Zhang, Qingkai Meng
Article
Automation & Control Systems
Qingkai Meng, Hao Yang, Bin Jiang
Summary: This paper investigates the structural accessibility of a class of network nonlinear systems, using nonlinear eigenvector and differential one-form to establish a strong accessibility condition equivalent to the controllability of their linearized systems. This equivalence allows for analysis and design of these systems using established linear system theories.
SYSTEMS & CONTROL LETTERS
(2021)
Article
Automation & Control Systems
Qingkai Meng, Hao Yang, Bin Jiang
Summary: This article establishes a new high-order sufficient STLC condition for switched nonlinear systems by associating the original SNS with a nilpotent Lie algebra and defining high-order control variations and bad Lie brackets. The obtained general condition is shown to be compatible with existing controllability conditions of switched linear systems and nonswitched linear and nonlinear systems.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Qingkai Meng, Hao Yang, Bin Jiang, Qiang Tang, Xianglun Zhang
Summary: This study addresses the problem of fault-tolerant control structure selection for network nonlinear systems. Necessary and sufficient conditions for accessibility and observability are established, and a recovering strategy is provided. The effectiveness of the strategy is illustrated through examples.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Proceedings Paper
Automation & Control Systems
Qingkai Meng, Hao Yang, Bin Jiang
2019 12TH ASIAN CONTROL CONFERENCE (ASCC)
(2019)
