Disturbance observer‐based integral fuzzy sliding‐mode control and its application to wind turbine system

Hwang, Sounghwan; Park, Jin Bae; Joo, Young Hoon

doi:10.1049/iet-cta.2018.5779

Cited by 49 publications

(33 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Assumption 1. [16] The matched disturbance H(x(t)) and mismatched NPNS disturbance d(t) are norm bounded and satisfy the following inequality condition:…”

Section: A T-s Fuzzy Modelmentioning

confidence: 99%

“…Assumption 2. In this paper, unlike previous studies [16], [25]- [26], it is assumed that the form of input matrix B i with i ∈ I r may differ according to the fuzzy rules in order to enhance design flexibility. Furthermore, the mismatched disturbance matrix B di with i ∈ I r has a same value regardless of its fuzzy rules, which means that B di follows the form of…”

Section: A T-s Fuzzy Modelmentioning

confidence: 99%

“…Lemma 1 will be needed because of the modified form (8). Unlike conventional T-S fuzzy model approach [5]- [12], [16], the input matrix structure is separated with several matrices, such asB,V ,Ū (w), andW . Given the time-varying matrixŪ (w), Lemma 1 will be helpful when deriving a stability analysis of (8).…”

Section: A T-s Fuzzy Modelmentioning

confidence: 99%

“…Among aforementioned robust control techniques, an integral fuzzy sliding-mode control (IFSMC) [13]- [15], and fuzzy disturbance observer-based control (FDOBC) [16], [17] have received a great interest in that IFSMC eliminates a reaching phase, which was one of the phenomena of conventional SMC and successfully attenuates the influence of the matched disturbance, and FDOBC directly compensates the influence of mismatched disturbance generated from an exogenous system by using an estimated disturbance. Despite such great achievements, there are still some constraints to be improved and polished.…”

Section: Introductionmentioning

confidence: 99%

“…Given this point, in [19], a first disturbance observer-based control (DOBC) approach was introduced based on the frequency domain, and it received great attention in that directly compensating the mismatched disturbance generated from an exogenous system, via disturbance observer (DOB). As the focus of DOBC theme shifts from the frequency domain to the time domain, many DOBC and FDOBC studies based on the statespace framework have been successfully developed [16], [17], [20]- [23], [30]. Although previous studies have proved their effectiveness, however, those studies assumed that the form of the mismatched disturbance is defined as a neutral stable sinusoidal function with a certain period and frequency or a decaying exponential function as time flows.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Extended Disturbance Observer-Based Integral Sliding Mode Control for Nonlinear System via T–S Fuzzy Model

Hwang

Kim

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

In this paper, an extended disturbance observer-based integral sliding-mode control for a nonlinear system is proposed by the Takagi-Sugeno (T-S) fuzzy model approach. The proposed method focuses on two points: First, improving the design flexibility of integral fuzzy sliding-mode control (IFSMC) by transforming a conventional T-S fuzzy model structure into a novel form. Second, expanding a previous disturbance observer-based control (DOBC) concept by introducing a Fourier analysis to deal with the non-periodic form of disturbance. By using the modified form of the fuzzy model, a novel sliding surface combined with estimated disturbance through several fuzzy disturbance observers (FDOB) is suggested. Besides, a sufficient condition for guaranteeing asymptotic stability of the sliding dynamic with H ∞ control performance is proposed by applying a proper Lyapunov function with the linear matrix inequality (LMI) concept. Furthermore, a reachability problem of the proposed sliding surface is also handled by introducing another Lyapunov function. Finally, the effectiveness of the proposed method is demonstrated by comparing previous studies, which focused on robust control techniques, based on the simulation results of an invertedpendulum system. INDEX TERMS Takagi-Sugeno (T-S) fuzzy model, robust control, sliding-mode control (SMC), disturbance observed-based control (DOBC), fuzzy disturbance observer (FDOB), linear matrix inequality (LMI), Lyapunov stability analysis, Fourier analysis.

show abstract

“…Assumption 1. [16] The matched disturbance H(x(t)) and mismatched NPNS disturbance d(t) are norm bounded and satisfy the following inequality condition:…”

Section: A T-s Fuzzy Modelmentioning

confidence: 99%

Section: A T-s Fuzzy Modelmentioning

confidence: 99%

Section: A T-s Fuzzy Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Extended Disturbance Observer-Based Integral Sliding Mode Control for Nonlinear System via T–S Fuzzy Model

Hwang

Kim

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

Fuzzy‐dependent switched fault‐tolerant tracking control for permanent magnet synchronous generator‐based wind energy conversion system

Subramanian

Joo

2022

Adaptive Control & Signal

Self Cite

View full text Add to dashboard Cite

This article investigates the switched fault-tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)-based variable-speed wind energy conversion system (WECS) subject to actuator faults. To do this, a Takagi-Sugeno fuzzy model is exploited to delineate the nonlinear WECS composed of a PMSG and wind turbine. By using the switching technique and Lyapunov functional including membership function information, fault-tolerant tracking control is proposed to effectively track the optimal trajectory of PMSG-based WECS states with known and unknown actuator faults. Also, the stabilization conditions are derived in the form of linear matrix inequality to determine the control gains, which assures the maximum power output and enhance the system performance. Meanwhile, the H ∞ performance index is presented with membership function, for attenuating the load torque disturbance of WECS. Finally, the superiority and benefit of presented method are validated by numerical simulations.

show abstract

Design nonlinear feedback strategy using H2/H∞ control and neural network based estimator for variable speed wind turbine

Khojasteh

Toshani

2021

Int. J. Dynam. Control

View full text Add to dashboard Cite

Disturbance observer‐based integral fuzzy sliding‐mode control and its application to wind turbine system

Cited by 49 publications

References 41 publications

Extended Disturbance Observer-Based Integral Sliding Mode Control for Nonlinear System via T–S Fuzzy Model

Extended Disturbance Observer-Based Integral Sliding Mode Control for Nonlinear System via T–S Fuzzy Model

Fuzzy‐dependent switched fault‐tolerant tracking control for permanent magnet synchronous generator‐based wind energy conversion system

Design nonlinear feedback strategy using H2/H∞ control and neural network based estimator for variable speed wind turbine

Contact Info

Product

Resources

About