Fault-Tolerant Control for T–S Fuzzy Systems With Application to Near-Space Hypersonic Vehicle With Actuator Faults

Shen, Qikun; Jiang, Bin; Cocquempot, Vincent

doi:10.1109/tfuzz.2011.2181181

Cited by 246 publications

(136 citation statements)

References 34 publications

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“…From the property of near space HFV, it is easy to discover that V is directly affected by the parameter h and the pitch angle θ. In addition, the parameter is of great significance which influence the nonlinear capacity; therefore, similar to the study by Xu et al 17 and Shen et al, 20 we select z 1 ¼ θ, z 2 ¼ q, and z 3 ¼ V . In order to uniformly cover the input range, the domain resources of fuzzy variables z 1 , z 2 , and z 3 are selected as z 1 2 ðÀ0:5; 0:5Þ rad, z 2 2 ðÀ0:5; 0:5Þ rad=s, and z 3 2 ð2000; 5000Þ m=s.…”

Section: I-t-ii T-s Modeling Of Hypersonic Longitudinal Dynamic Systemmentioning

confidence: 96%

“…20,25 Only the elevator is assumed to incur a fault Figure 6. Elevator fault and its estimation (three-step fault estimation method for interval type-II fuzzy hypersonic system).…”

Section: I-t-ii T-s Modeling Of Hypersonic Longitudinal Dynamic Systemmentioning

confidence: 99%

“…16 During the last few years, the T-S modeling technique has been applied to describe the hypersonic attitude dynamics such as described earlier in the literature. [17][18][19][20] However, uncertainties may exist in the modeling progress because of many factors such as the lack of sufficient experiment data, high-order modes that are ignored, and unknown disturbances existing during flight. Besides, the change of elastic structure model and the consumption of the fuel during the flight will also lead to parameter uncertainties.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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Section: I-t-ii T-s Modeling Of Hypersonic Longitudinal Dynamic Systemmentioning

confidence: 96%

“…20,25 Only the elevator is assumed to incur a fault Figure 6. Elevator fault and its estimation (three-step fault estimation method for interval type-II fuzzy hypersonic system).…”

Section: I-t-ii T-s Modeling Of Hypersonic Longitudinal Dynamic Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Over the past decade, it has proved to be very useful in many applications [8,10,13,14,19]. It is not surprising that T-S fuzzy models have become one of the most useful control approaches for complex nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive fuzzy control design for nearspace vehicle

Gao

Shen

et al. 2015

IFS

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Abstract.In this paper, a T-S fuzzy model of the NSV (Nearspace Vehicle) kinematic model is established based on fuzzy approximation theory, and a new fuzzy robust tracking control law is designed in reference to the feedforward control of the linear system. In order to account for a case in which no augmented matrix is introduced, the control law is designed as a compound form of feedback and feedforward, and the gains of feedback and feedforward are solved by LMI (Linear Matrix Inequalities). The strategy is applied to the anti-interference control of NSV attitudes, and the convergence of tracking errors is analyzed according to the Lyapunov method. Simulation results based on the NSV demonstrate the validity of the proposed method.

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“…So it's important to design the flight control system, which is capable of tolerating potential faults and rejecting the disturbances in order to improve the reliability and availability while providing a desirable performance. Generally, the faults can be classified into four categories: outage [5], lose of effectiveness [6], stuck fault [7] and bias fault [8]. Some researchers have make contributions on the fault-tolerant of quad-rotor.…”

Section: Introductionmentioning

confidence: 99%

Fault tolerant tracking control for quad-rotor helicopter via robust adaptive technique

Zhang

Zhao

2014

Proceedings of the 33rd Chinese Control Conference

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This paper presents a robust adaptive H ∞ strategy to solve the attitude of the quad-rotor helicopter control problems with actuator failures and external disturbances. The dynamic motion equations are obtained by the Euler formalism. Based on the linear time-invariant state-space equations of the quad-rotor, a state feedback robust adaptive H∞ tracking controller is proposed to track the given attitude angles with actuator faults. The controller gain consists of two parts: one part is the fixed gain which is obtained based on LMIs (linear Matrix inequalities), the other one is the time-varying gain which is adjusted on-line by the designed adaptive laws. Simulations based on a 3D Hover System of Quanser, are presented to verify the control strategy in the SIMULINK/MATLAB environment.

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Fault-Tolerant Control for T–S Fuzzy Systems With Application to Near-Space Hypersonic Vehicle With Actuator Faults

Cited by 246 publications

References 34 publications

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

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

Robust adaptive fuzzy control design for nearspace vehicle

Fault tolerant tracking control for quad-rotor helicopter via robust adaptive technique

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