Observer‐based fault‐tolerant control of hypersonic scramjet vehicles in the presence of actuator faults and saturation

Mu, Lingxia; Li, Leyao; Yu, Xiang; Li, Ping; Wang, Xinmin

doi:10.1002/rnc.4004

Cited by 8 publications

(7 citation statements)

References 38 publications

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“…For example, the fault-tolerant control strategy based on adaptive sliding mode observer is proposed for hypersonic vehicle in the presence of actuator saturation and faults. 17 For flexible hypersonic vehicle with actuator saturation, the anti-saturation controller via finite-time dynamic inversion is designed for the velocity subsystem and the anti-saturation controller via robust command-filtered backstepping is built for the altitude subsystem. 4 Many linear methods have also been extensively attempted.…”

Section: Introductionmentioning

confidence: 99%

Robust model predictive control for hypersonic vehicle with state‐dependent input constraints and parameter uncertainty

Yang

Wei

et al. 2021

Intl J Robust & Nonlinear

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In this article, a robust model predictive control strategy based on sum-of-squares (SOS-RMPC) is proposed for hypersonic vehicle with state-dependent input constraints and uncertain parameters. Based on feedback linearization model of hypersonic vehicle, the polytopic linear parameter varying error model with bounded disturbance is established for reference trajectory tracking. The real limits of the actual control inputs are transformed into the constraints of the virtual inputs equivalently with the state-dependent nonlinear functions. Further, the multivariate linear fitting is used to approximate the state-dependent input constraints into polynomials. A weighted composite virtual control is formulated as the combination of unconstrained control and auxiliary control. SOS technique is introduced to cast the polynomial constraints into the convex matrix SOS conditions via linear matrix inequality. The virtual control law can be obtained by solving a SOS-RMPC convex optimization with infinite horizon. The invariant set is designed for the undisturbed error states and the norm-bounding theory is applied to ensure that the predictive error states with disturbance can remain in the same invariant set. The real control law is obtained by inverse control. The simulation verifies the performance of the designed controller.

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Section: Introductionmentioning

confidence: 99%

Robust model predictive control for hypersonic vehicle with state‐dependent input constraints and parameter uncertainty

Yang

Wei

et al. 2021

Intl J Robust & Nonlinear

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“…Nevertheless, the core idea of most trajectory or attitude control designs is to apply the estimation technique as a compensator to allow adjustment in advanced control methods (e.g., the SMC-based control [23], the fault-tolerant control [24], [25], or the output-feedback control [26]). Using these strategies, a robust control performance can be acquired.…”

Section: Introductionmentioning

confidence: 99%

Six-DOF Spacecraft Optimal Trajectory Planning and Real-Time Attitude Control: A Deep Neural Network-Based Approach

Chai

Tsourdos

Chai

et al. 2020

IEEE Trans. Neural Netw. Learning Syst.

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This paper presents an integrated trajectory planning and attitude control framework for six-degree-of-freedom (6-DOF) hypersonic vehicle (HV) reentry flight. The proposed framework utilizes a bilevel structure incorporating desensitized trajectory optimization and deep neural network (DNN)-based control. In the upper level, a trajectory dataset containing optimal system control and state trajectories is generated, while in the lower-level control system, DNNs are constructed and trained using the pregenerated trajectory ensemble in order to represent the functional relationship between the optimized system states and controls. These well-trained networks are then used to produce optimal feedback actions online. A detailed simulation analysis was performed to validate the real-time applicability and the optimality of the designed bilevel framework. Moreover, comparative analysis was also carried out between the proposed DNN-driven controller and other optimization-based techniques existing in related works. Our results verify the reliability of using the proposed bilevel design for the control of HV reentry flight in real time.

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“…If the controller is designed without saturation, the output of the controller will be inconsistent with the design in actual application, resulting in a performance degradation of the closed-loop system and even instability of the system (9) . An adaptive sliding mode observer-based fault-tolerant control method taking into consideration actuator saturation is proposed for a hypersonic vehicle under a class of timevarying actuator faults (10) . Groves K (11) proposed a method based on anti-saturation control.…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant control of hypersonic vehicles based on fast fault observer under actuator gain loss fault or stuck fault

Zhu¹,

Jin²,

Yu³

2020

Aeronaut. j.

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ABSTRACTThis paper proposes a fault-tolerant control (FTC) method based on fast fault observer (FFO) to solve the problem of actuator gain loss fault and stuck fault for hypersonic vehicles. Firstly, an input-output feedback linearisation model is presented that considers parametric uncertainties, control input saturation, disturbances and actuator faults. Secondly, the above factors are defined as an integrated fault item, and an improved fast fault observer is designed to estimate the integrated fault in real time. Finally, the fault-tolerant controller is constructed based on the sliding mode and fault estimation. In case of unknown faults, the effects of gain loss fault or stuck fault happen on elevators and the engine can be quickly processed, Also, the asymptotically stable tracking of the flight output reference command is completed to achieve fault-tolerant control. The final simulation experiment verifies the effectiveness of the proposed method.

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Observer‐based fault‐tolerant control of hypersonic scramjet vehicles in the presence of actuator faults and saturation

Cited by 8 publications

References 38 publications

Robust model predictive control for hypersonic vehicle with state‐dependent input constraints and parameter uncertainty

Robust model predictive control for hypersonic vehicle with state‐dependent input constraints and parameter uncertainty

Six-DOF Spacecraft Optimal Trajectory Planning and Real-Time Attitude Control: A Deep Neural Network-Based Approach

Fault-tolerant control of hypersonic vehicles based on fast fault observer under actuator gain loss fault or stuck fault

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