A multitask sliding mode control for mismatched uncertain large-scale systems

Tsai, Yao-Wen; Huynh, Van Van

doi:10.1080/00207179.2015.1025293

Cited by 8 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The control vector components, 𝑉 𝑑𝑟 and 𝑉 𝑞𝑟 , are pivotal in guiding the system's convergence towards the targeted state. The computation of the control vector 𝑉 𝑑𝑞𝑒𝑞 is achieved by imposing 𝑆 ̇𝑑𝑞 = 0 ensuring equivalence of control elements, as specified by (21).…”

Section: Calculation Of Controlmentioning

confidence: 99%

Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

Bekouche,

Chaker

2024

IJECE

View full text Add to dashboard Cite

This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator(DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC).Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.

show abstract

Section: Calculation Of Controlmentioning

confidence: 99%

Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

Bekouche,

Chaker

2024

IJECE

View full text Add to dashboard Cite

show abstract

“…, where 𝑠 𝑖 (𝑦 𝑖 (𝑡), 𝑡) is switching manifold as (2). By differentiating 𝑉 𝑖 (𝑠 𝑖 ) and using the (13), we get (16).…”

Section: Design Of a Single Phase Second Order Sliding Mode Controllermentioning

confidence: 99%

“…By substituting the suggested controller (14), control gains (15), and ( 17) into (16), it is obvious that 𝑉 ̇𝑖 ≤ − ∑ 𝛼 ̃𝑖‖𝑠 𝑖 (𝑡)‖ 𝐿 𝑖=1…”

Section: Design Of a Single Phase Second Order Sliding Mode Controllermentioning

confidence: 99%

“…Koo et al [15] explored an output-feedback controller based on an observer to stabilize a class of nonlinear large-scale plants with an unknown interconnection by employing a Takagi-Sugeno fuzzy typical. In [16], a new SMC methodology is stretched to a class of mismatched uncertain large-scale systems with the mismatching interconnections and unknown perturbations. However, the norm of system variables is bounded by constant.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Single phase second order sliding mode controller for complex interconnected systems with extended disturbances and unknown time-varying delays

Nguyen

Hien²,

Phan³

2022

IJECE

View full text Add to dashboard Cite

<p>Novel results on complex interconnected time-delay systems with single phase second order sliding mode control is investigated. First, a reaching phase in traditional sliding mode control (TSMC) is removed by using a novel single phase switching manifold function. Next, a novel reduced order sliding mode observer (ROSMO) with lower dimension is suggested to estimate the unmeasurable variables of the plant. Then, a new single phase second order sliding mode controller (SPSOSMC) is established based on ROSMO tool to drive the state variables into the specified switching manifold from beginning of the motion and reduce the chattering in control input. Then, a stability condition is suggested based on the well-known linear matrix inequality (LMI) method to ensure the asymptotical stability of the whole plant. Finally, an illustrated example is simulated to validate the feasible application of the suggested technique.</p>

show abstract

“…When the large-scale system contains mismatched perturbation, a decentralized sliding mode control scheme based on overlapping method is presented in [24]. Only some works consider the case of uncertainties in the input channel [25][26][27][28]. Recently, in [29] a decentralized adaptive sliding mode control for large-scale systems with mismatched perturbations has been presented; however, the class of system considered remains restricted.…”

Section: Introductionmentioning

confidence: 99%

Robust Decentralized Adaptive Fuzzy Integral Sliding Mode Control of Mismatched Uncertain Large-scale Systems

Mnasri¹,

Gasmi²

2019

ijeei

View full text Add to dashboard Cite

The objective of this paper is to propose a robust decentralized adaptive fuzzy integral sliding mode control of interconnected uncertain systems. Uncertainties, disturbances and interconnections are of mismatched type. The approach, which will be considered, benefits from the advantages of the integral sliding mode compared to traditional sliding mode. Moreover, it combines the LMI technique with the sliding mode to design a sliding surface guaranteeing the satisfaction of H infinity robustness criterion. The proposed local controllers designed for each subsystem guaranty the quadratic stability of the global system. The second task considered in this work is the synthesis of an adaptive fuzzy control scheme allowing the elimination of the phenomenon of chattering and the estimation of the controller parameters. The effectiveness and the useful of the obtained results will be discussed through numerical example.

show abstract

A multitask sliding mode control for mismatched uncertain large-scale systems

Cited by 8 publications

References 19 publications

Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

Single phase second order sliding mode controller for complex interconnected systems with extended disturbances and unknown time-varying delays

Robust Decentralized Adaptive Fuzzy Integral Sliding Mode Control of Mismatched Uncertain Large-scale Systems

Contact Info

Product

Resources

About