Model predictive control‐based non‐linear fault tolerant control for air‐breathing hypersonic vehicles

Hu, Xiaoxiang; Karimi, Hamid Reza; Wu, Ligang; Guo, Yang

doi:10.1049/iet-cta.2013.0986

Cited by 77 publications

(39 citation statements)

References 25 publications

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“…The neural network disturbance observer is designed as (15), the nonlinear disturbance observer is designed as (24), and the parameter updated law of the RBFNN is chosen as (43). Then, the adaptive neural fault tolerant control law is proposed as (39). Under the developed adaptive fault tolerant control scheme, all closed-loop system signals are semiglobally uniformly bounded and the tracking error of the 3-DOF model helicopter (1) …”

Section: Substituting (39) Into (38) Yieldṡmentioning

confidence: 99%

“…In the experiment, the neural network disturbance observer is designed as (15), the nonlinear disturbance observer is designed as (24), and the adaptive neural fault tolerant control law is designed as (39). The simulation setup is shown in Figure 3.…”

Section: Simulation Studymentioning

confidence: 99%

“…From Figure 3, the elevation and pitch angles are measured by position encoders and the measurements are sent to the computer. According to the received elevation and pitch angles and the output signal of the reference model, the control command can be generated using the developed adaptive neural fault-tolerant control scheme (39). Then, the control command is executed via the electric control panel to achieve the desired tracking control.…”

Section: Simulation Studymentioning

confidence: 99%

“…Adaptive sliding mode fault tolerant attitude tracking control was proposed for flexible spacecraft under actuator saturation in [38]. In [39], a model predictive control-based nonlinear fault tolerant control was developed for air-breathing hypersonic vehicles. Fault detection and fault-tolerant control were studied for civil aircraft using a siding-mode-based scheme in [40].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System

Chen

Shi

Lim

2016

IEEE Trans. Syst. Man Cybern, Syst.

358

129

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Abstract-In this paper, an adaptive neural fault-tolerant control scheme is proposed for the three degrees of freedom model helicopter, subject to system uncertainties, unknown external disturbances, and actuator faults. To tackle the system uncertainty and the nonlinear actuator fault problems, the neural network disturbance observer is developed based on the radial basis function neural network. The unknown external disturbance and the unknown neural network approximation error are treated as a compound disturbance that is estimated by another nonlinear disturbance observer. A disturbance observer based adaptive neural fault-tolerant control scheme is then developed to track the desired system output in the presence of system uncertainty, external disturbance, and actuator faults. The stability of the whole closed-loop system is analyzed using the Lyapunov method, which guarantees the convergence of all closed-loop signals. Finally, the simulation results are presented to illustrate the effectiveness of the new control design techniques.

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Section: Substituting (39) Into (38) Yieldṡmentioning

confidence: 99%

Section: Simulation Studymentioning

confidence: 99%

Section: Simulation Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System

Chen

Shi

Lim

2016

IEEE Trans. Syst. Man Cybern, Syst.

358

129

View full text Add to dashboard Cite

show abstract

“…7 It is important to redouble our efforts on the fault estimation and fault-tolerant control (FTC) of HFVs. In the study by Hu et al, 8 an optimization-based reference reconfiguration method is given, which can solve the actuator saturation fault. In the study by Zhang et al, 9 the researchers present a dynamic adaptive neural networkbased FTC scheme.…”

Section: Introductionmentioning

confidence: 99%

Multiple-step fault estimation for interval type-II T-S fuzzy system of hypersonic vehicle with time-varying elevator faults

Wang

Chen

et al. 2017

International Journal of Advanced Robotic Systems

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This article proposes a multiple-step fault estimation algorithm for hypersonic flight vehicles that uses an interval type-II Takagi-Sugeno fuzzy model. An interval type-II Takagi-Sugeno fuzzy model is developed to approximate the nonlinear dynamic system and handle the parameter uncertainties of hypersonic firstly. Then, a multiple-step time-varying additive fault estimation algorithm is designed to estimate time-varying additive elevator fault of hypersonic flight vehicles. Finally, the simulation is conducted in both aspects of modeling and fault estimation; the validity and availability of such method are verified by a series of the comparison of numerical simulation results.

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Robust dynamic output feedback predictive fault‐tolerant control for discrete uncertain systems

Wang,

Li,

et al. 2024

Optim Control Appl Methods

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A robust predictive fault‐tolerance control method integrating dynamic output feedback is proposed for discrete industrial processes with unmeasurable states, actuator faults, uncertainties, and external disturbances. First, a new iterative error model is developed, which extends the output tracking error to increase the freedom of controller regulation and ensure the tracking performance of the system. Second, a robust dynamic output feedback predictive fault‐tolerant controller is designed based on the preceding model. According to the Lyapunov stability theory, the robust stability criterion of the system is performed in the case of actuator faults, and the stability conditions of the system in the form of linear matrix inequality are given. The real‐time optimal control law gains are obtained by solving the stability conditions online. This method can effectively suppress the effects of actuator faults, uncertainties and external disturbances on the system with unmeasurable states, which can guarantee the tracking performance and stability of the system. The effectiveness of the proposed method is finally verified by using an injection molding process as an example.

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Model predictive control‐based non‐linear fault tolerant control for air‐breathing hypersonic vehicles

Cited by 77 publications

References 25 publications

Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System

Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System

Multiple-step fault estimation for interval type-II T-S fuzzy system of hypersonic vehicle with time-varying elevator faults

Robust dynamic output feedback predictive fault‐tolerant control for discrete uncertain systems

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