Hybrid approach to design Takagi–Sugeno observer‐based FTC for non‐linear systems affected by simultaneous time varying actuator and sensor faults

Shaker, Montadher Sami

doi:10.1049/iet-cta.2018.5919

Cited by 10 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lavretsky et al propose a robust adaptive control in Reference [12], by consideration of dynamic systems operated in the precense of parametric uncertainties and bounded noise. In Reference [13], a gain scheduling control is proposed by Galuppini et al Moreover, there are also FTC approaches standing for Takagi-Sugeno-based fuzzy systems, e.g., in Reference [14][15][16]. Of course, the problem of FD, as well as FTC, is still open, and newer approaches guaranteeing stability during the fault occurrence are going to be developed.…”

Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Tracking Control for a Descriptor System under an Unknown Input Disturbances

2021

View full text Add to dashboard Cite

The paper proposes a fault-tolerant tracking control scheme based on a robust observer for a descriptor system. Thus, it is assumed that the described system can be simultaneously occupied by an unknown input disturbance, along with an actuator and sensor faults. Additionally, it is natural to assume that the unknown input disturbance cannot be estimated, which makes the control process more difficult. Moreover, the proposed descriptor system is also occupied by external disturbances. Thus, the robust stability of the proposed control and estimation scheme was guaranteed by using H∞ performance. Consequently, the DC servo-motor laboratory system was used to confirm the correctness and effectiveness of the proposed fault-tolerant tracking control scheme.

show abstract

Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Tracking Control for a Descriptor System under an Unknown Input Disturbances

2021

View full text Add to dashboard Cite

show abstract

“…In the literature, many works on fuzzy observer design and its application to FDD and FTC for T-S fuzzy models exist in both explicit and implicit cases see e.g. [20][21][22][23][24][25][26][27] for T-S explicit models case and [28][29][30][31][32][33][34][35][36][37] for T-S implicit models. It should be noted that, generally an interesting way to solve the various observer problems raised previously is to write the convergence conditions on the LMI form [38].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous state and fault estimation for Takagi-Sugeno implicit models with Lipschitz constraints

Ouzaz

Assoudi

Soulami

et al. 2021

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

View full text Add to dashboard Cite

This paper presents a state and fault observer design for a class of Takagi-Sugeno implicit models (TSIMs) with unmeasurable premise variables satisfying the Lipschitz constraints. The fault variable is constituted by the actuator and sensor faults. The actuator fault affects the state and the sensor fault affects the output of the system. The approach is based on the separation between dynamic and static relations in the TSIM. Firstly, the method begins by decomposing the dynamic equations of the algebraic equations. Secondly, the fuzzy observer design that satisfies the Lipschitz conditions and permits to estimate simultaneously the unknown states, actuator and sensor faults is developed. The aim of this approach for the observer design is to construct an augmented model where the fault variable is added to the state vector. The exponential convergence of the state estimation error is studied by using the Lyapunov theory and the stability condition is given in term of only one linear matrix inequality (LMI). Finally, numerical simulation results are given to highlight the performances of the proposed method by using a TSIM of a single-link flexible joint robot.

show abstract

“…Yet, this method need a high additional computational cost. Authors in References 18 and 19 have investigated the control problem for T‐S systems in presence of SAF. However, in many practical systems, the main objective is to develop a fault tolerant control not only for the compensation of fault effects and the stabilization but also to drive system states to track the desired states of the reference model.…”

Section: Introductionmentioning

confidence: 99%

Robust fault estimation and fault‐tolerant tracking control for uncertain Takagi–Sugeno fuzzy systems: Application to single link manipulator

Makni

Bouattour

Chaabane

2021

Adaptive Control & Signal

View full text Add to dashboard Cite

Summary This article concerns the estimation and tracking control problems for Takagi–Sugeno systems with disturbances and norm bounded uncertainties in presence of sensor and actuator faults (SAF). First, we propose a robust fuzzy observer (RFO) design method to estimate both state and SAF for the considered class of the nonlinear systems. Then, this RFO‐based fault tolerant tracking control is developed not only to compensate the SAF effects but also to ensure the state convergence to desired trajectories in spite of their presence. To reduce the conservatism of design conditions, observer and controller gains are calculated in a single step by solving a set of linear matrix inequality constraints. H∞ criterion is used to attenuate disturbance effects and to reduce the tracking error. Finally, simulation results by considering two types of actuator fault and comparative study on a single link flexible joint manipulator are provided to underline the performances of the mentioned process.

show abstract

Hybrid approach to design Takagi–Sugeno observer‐based FTC for non‐linear systems affected by simultaneous time varying actuator and sensor faults

Cited by 10 publications

References 27 publications

Fault-Tolerant Tracking Control for a Descriptor System under an Unknown Input Disturbances

Fault-Tolerant Tracking Control for a Descriptor System under an Unknown Input Disturbances

Simultaneous state and fault estimation for Takagi-Sugeno implicit models with Lipschitz constraints

Robust fault estimation and fault‐tolerant tracking control for uncertain Takagi–Sugeno fuzzy systems: Application to single link manipulator

Contact Info

Product

Resources

About