Anti-disturbance tracking control for systems with nonlinear disturbances using T–S fuzzy modeling

Yi, Yang; Fan, Xiang; Zhang, Tian Ping

doi:10.1016/j.neucom.2015.07.039

Cited by 22 publications

(15 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The estimation error is denoted as e = (t) −̂(t). Based on (5), (10), (14), and (15), it is shown that the error dynamics satisfy…”

Section: Adaptive Nonlinear Disturbance Observermentioning

confidence: 99%

“…Then by adjusting the ANDO (14) with the gain L 1 , FDO (18) with the gain L 2 , CFTC (21) with gain K = RQ −1 1 , and designing the following adaptive laẇ̂=…”

Section: Theoremmentioning

confidence: 99%

“…As a key antidisturbance control approach, the disturbance observer‐based control (DOBC) established in the late 1980s is an approved robust control scheme against various disturbances in many applications . In recent years, the DOBC works have been extended to composite hierarchical antidisturbance control (CHADC) works for a large class of systems with multiple disturbances .…”

Section: Introductionmentioning

confidence: 99%

“…As a key antidisturbance control approach, the disturbance observer-based control (DOBC) established in the late 1980s is an approved robust control scheme against various disturbances in many applications. [12][13][14][15][16][17] In recent years, the DOBC works have been extended to composite hierarchical antidisturbance control (CHADC) works for a large class of systems with multiple disturbances. 1,2 The CHADC scheme can reject the inner loop disturbance and attenuate the outer loop ones separately and simultaneously, which improves antidisturbance control accuracy of the systems.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Elegant antidisturbance fault‐tolerant control for stochastic systems with multiple heterogeneous disturbances

Dong

Wei

et al. 2020

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

Summary In this article, the elegant antidisturbance fault‐tolerant control (EADFTC) problem is studied for a class of stochastic systems in the simultaneous presence of multiple heterogeneous disturbances and time‐varying faults. The multiple heterogeneous disturbances include white noise, norm bounded uncertain disturbances and uncertain modeled disturbances with multiple nonlinearities and unknown amplitudes, frequencies, and phases. The time‐varying fault signals are caused by lose efficacy of actuator. To online estimate uncertain modeled disturbances and time‐varying faults, a novel composite observer structure consisting of the adaptive nonlinear disturbance observer and the fault diagnosis observer is constructed. The novel EADFTC strategy is proposed by integrating composite observer structure with adaptive disturbance observer‐based control theory and H∞ technology. It is proved that all the signals of closed‐loop system are asymptotically bounded in mean square under the circumstances of multiple heterogeneous disturbances and time‐varying faults occur simultaneously. Finally, the effectiveness and availability of proposed strategy are demonstrated by means of the numerical simulation and a doubly fed induction generators system simulation, respectively.

show abstract

“…The estimation error is denoted as e = (t) −̂(t). Based on (5), (10), (14), and (15), it is shown that the error dynamics satisfy…”

Section: Adaptive Nonlinear Disturbance Observermentioning

confidence: 99%

“…Then by adjusting the ANDO (14) with the gain L 1 , FDO (18) with the gain L 2 , CFTC (21) with gain K = RQ −1 1 , and designing the following adaptive laẇ̂=…”

Section: Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Elegant antidisturbance fault‐tolerant control for stochastic systems with multiple heterogeneous disturbances

Dong

Wei

et al. 2020

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…5,16,17 In addition, disturbance observer-based control (DOBC) gives an active solution to estimate and reject those unknown exogenous disturbances and has received considerable attentions (see Guo and Cao, 20 Guo and Chen, 24 Wei and Guo, 25 and Xu et al 26 ). Almost all of the controlled systems, such as transport aircraft, 27 robot manipulators, 28 magnetic levitation (MAGLEV) suspension systems, 29 nonGaussian distribution control systems, 30,31 permanent magnet synchronous motor (PMSM) models, 32,33 Markovian jump systems, 34 and A4D flight models 35,36 can achieve satisfactory control performance using DOBC technique. Some successful DOB anti-disturbance results have also been developed to compensate those complex exogenous disturbances existed in HFV models.…”

Section: Introductionmentioning

confidence: 99%

Disturbance observer-based L₁ robust tracking control for hypersonic vehicles with T-S disturbance modeling

Shen

et al. 2016

International Journal of Advanced Robotic Systems

Self Cite

View full text Add to dashboard Cite

This article concerns a disturbance observer-based L 1 robust anti-disturbance tracking algorithm for the longitudinal models of hypersonic flight vehicles with different kinds of unknown disturbances. On one hand, by applying T-S fuzzy models to represent those modeled disturbances, a disturbance observer relying on T-S disturbance models can be constructed to track the dynamics of exogenous disturbances. On the other hand, L 1 index is introduced to analyze the attenuation performance of disturbance for those unmodeled disturbances. By utilizing the existing convex optimization algorithm, a disturbance observer-based proportional-integral-controlled input is proposed such that the stability of hypersonic flight vehicles can be ensured and the tracking error for velocity and altitude in hypersonic flight vehicle models can converge to equilibrium point. Furthermore, the satisfactory disturbance rejection and attenuation with L 1 index can be obtained simultaneously. Simulation results on hypersonic flight vehicle models can reflect the feasibility and effectiveness of the proposed control algorithm.

show abstract

Tolerant control for non-Gaussian stochastic processes with unknown faults via two-step fuzzy modeling

Shao

Fan

et al. 2018

Nonlinear Dyn

View full text Add to dashboard Cite

Anti-disturbance tracking control for systems with nonlinear disturbances using T–S fuzzy modeling

Cited by 22 publications

References 31 publications

Elegant antidisturbance fault‐tolerant control for stochastic systems with multiple heterogeneous disturbances

Elegant antidisturbance fault‐tolerant control for stochastic systems with multiple heterogeneous disturbances

Disturbance observer-based L₁ robust tracking control for hypersonic vehicles with T-S disturbance modeling

Tolerant control for non-Gaussian stochastic processes with unknown faults via two-step fuzzy modeling

Contact Info

Product

Resources

About

Anti-disturbance tracking control for systems with nonlinear disturbances using T–S fuzzy modeling

Cited by 22 publications

References 31 publications

Elegant antidisturbance fault‐tolerant control for stochastic systems with multiple heterogeneous disturbances

Elegant antidisturbance fault‐tolerant control for stochastic systems with multiple heterogeneous disturbances

Disturbance observer-based L1 robust tracking control for hypersonic vehicles with T-S disturbance modeling

Tolerant control for non-Gaussian stochastic processes with unknown faults via two-step fuzzy modeling

Contact Info

Product

Resources

About

Disturbance observer-based L₁ robust tracking control for hypersonic vehicles with T-S disturbance modeling