T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults

Wei, Yanling; Qiu, Jianbin; Peng, Xiuyan; Lam, Hak‐Keung

doi:10.1007/s00034-017-0547-0

Cited by 13 publications

(6 citation statements)

References 39 publications

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“…e range of time-varying delay d(t) satisfies 0.1 ≤ d(t) ≤ 0.6 and _ d(t) ≤ 0.3 for 0 ≤ t ≤ 60. In this paper, the simulation example selects the fault expression f(t) that was used in many classic papers as the potential fault signal [31][32][33][34]. e fault detection graph simulated by this fault expression is not only simple but also clear; we can clearly see whether the fault detection filter is effective or not.…”

Section: Examplementioning

confidence: 99%

“…In order to improve the safety performance of the control systems, when the systems fail, we need to quickly detect the faults and avoid accidents. In order to pursue higher security and reliability, many scholars have studied the fault detection problems of Markovian jump systems [29][30][31]. ese scholars only studied the fault detection problems of the ordinary Markovian jump systems.…”

Section: Introductionmentioning

confidence: 99%

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Fault Detection Filter Design of Polytopic Uncertain Continuous-Time Singular Markovian Jump Systems with Time-Varying Delays

Shi

Peng

2020

Complexity

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This paper investigates the problem of full-order and reduced-order fault detection filter (FDF) design under unified linear matrix inequality (LMI) conditions for a class of continuous-time singular Markovian jump systems (CTSMJSs) with time-varying delays and polytopic uncertain transition rates. By constructing a new Lyapunov function, sufficient conditions are firstly provided for the singular model error augmented system such that the system is stochastically admissible with an H∞ performance level γ. And then, by applying a novel convex polyhedron technique to decoupled linear matrix inequalities, the full-order and reduced-order fault detection filter parameters can be obtained within a convex optimization frame. The reduced-order fault detection filter (FDF) can not only meet the fault detection accuracy requirements of complex systems but also improve the fault detection efficiency. Finally, a DC motor and an illustrative simulation example are given to verify the feasibility and effectiveness of the proposed algorithms.

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Section: Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault Detection Filter Design of Polytopic Uncertain Continuous-Time Singular Markovian Jump Systems with Time-Varying Delays

Shi

Peng

2020

Complexity

Self Cite

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“…10 A nonlinear plant was described by a discrete-time T-S fuzzy affine model with parametric uncertainties. 11 The disadvantage of these methods is that they rely on numerical or measured values to built system models. One of the biggest advantages of fuzzy logic-based algorithms is that it contains the language rules of expert systems and how to design the slip control system together with it.…”

Section: Introductionmentioning

confidence: 99%

Modeling, simulation and re-adhesion control of an induction motor–based railway electric traction system

Uyulan

Gökaşan

2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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Increasing the traction force is a complex problem in the design of railway vehicles; therefore, effective traction systems and algorithms have to be developed. During the traction process, the verification of traction algorithms and control strategies are based on simulations covering all locomotive dynamics. In this article, traction model of a railway vehicle and re-adhesion control method based on simulation approach are investigated to obtain more effective results. The longitudinal dynamic of a railway vehicle having traction system, which comprises two parallel motor groups, each of which has two field-oriented induction motor connected in series, is simulated to examine time-dependent changes in motor stator currents, traction torque, adhesion and resistance forces according to a given speed reference. The interaction between the adhesion force and the slip ratio is established according to the Burckhardt adhesion model, and a modified super-twisting sliding mode slip control is implemented in a computer simulation under various contact conditions so that simulation results approve the presented control method works under the maximum adhesion force. The comparison between the classical and modified version of the proposed control strategy was made to better evaluate the performance of the control system and to better optimize the traction system.

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“…Based on a fuzzy basis–dependent Lyapunov function, a reliable state-feedback control problem for T-S fuzzy systems with actuator failures and infinite-distributed delay was applied. 32 Wei et al, 33 applied and validated the effectiveness of the robust and reliable H ∞ static output feedback control for nonlinear systems, which is characterized by a dicrete-time Takagi–Sugeno fuzzy affine model with parameter uncertainties with actuator faults defined by a Markov chain model. The desired controller parameter can be evaluated in a convex optimization setup.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the re-adhesion control strategies in high-speed train

Uyulan

Gökaşan

Boğosyan

2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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Excessive driving force applied to the trains leads to an inadequate utilization of the adhesion phenomenon occurred at the wheel-rail contact, and an unnecessary power consumption, while inadequate driving force causes the train to run inefficiently. For this reason, the necessity of re-adhesion control in the safe and reliable operation, in the balance of energy consumption, is indisputable. A comparison of the two re-adhesion control strategies, one of which is robust adaptive and the other of which is the modified super-twisting sliding mode, has been presented in this article. These control algorithms developed suppress the wheel slip on time and maintain optimal traction performance after readhesion under the nonlinear properties of the traction system and the uncertainties of the adhesion level at the wheelrail interface. Due to the complex nonlinear relationship between the adhesion force and the slip angular velocity, such a problem becomes a hard problem to overcome as long as the optimal slip ratio is not known. An optimal search strategy has also been developed to estimate and to track the desired slip angular velocity. By means of the proposed strategies, the traction motor control torque is automatically adjusted so as to ensure that the train operates away from the unstable slip zone but adjacent to the optimal adhesion region, and the desired traction capability is attainable once adhesion is regained. Mathematical analyzes are also provided to ensure the ultimate boundedness of the algorithms developed. The effectiveness of the proposed re-adhesion strategies is validated through the theoretical analysis and numerical simulations conducted in MATLAB and Simulink. As a result of consecutive simulations, modified supertwisting algorithm has shown better performance as compared to the robust adaptive one in tracking the optimal slip velocity as wheel-rail contact conditions switch suddenly.

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T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults

Cited by 13 publications

References 39 publications

Fault Detection Filter Design of Polytopic Uncertain Continuous-Time Singular Markovian Jump Systems with Time-Varying Delays

Fault Detection Filter Design of Polytopic Uncertain Continuous-Time Singular Markovian Jump Systems with Time-Varying Delays

Modeling, simulation and re-adhesion control of an induction motor–based railway electric traction system

Comparison of the re-adhesion control strategies in high-speed train

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