Takagi–Sugeno fuzzy-based integral sliding mode control for wind energy conversion systems with disturbance observer

Sumbekov, Sabizhan; Phuc, Bui Duc Hong; Duc, Ton

doi:10.1007/s00202-020-00939-2

Cited by 13 publications

(3 citation statements)

References 30 publications

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“…I-SMC incorporates an integral term to minimize the tracking error [2,35]. Formally, the I-SMC reads as [31,[43][44]:…”

Section: Integral Sliding Mode Controlmentioning

confidence: 99%

“…Like the I-SMC, IB-SMC handles and minimizes the error as quickly as possible. Backstepping transforms lower-order systems into a strict feedback form [24,43,48]. The integralbackstepping technique can be adapted and merged with SMC to generate a smooth output signal, thereby removing any chattering in the control input.…”

Section: Integral-backstepping Smc (Ib-smc)mentioning

confidence: 99%

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Integral Backstepping Sliding Mode Control for Maximizing the Power Production of Wind Turbines

Abouri,

El Guezar,

Bouzahir

et al. 2024

Eng. Technol. Appl. Sci. Res.

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Wind turbine control has attracted increasing attention, driven in part by evolving challenges due to the growing size and complexity of wind turbines. Addressing these challenges and maximizing wind turbine power production requires the application of advanced nonlinear control methods. Sliding Mode Control (SMC) has emerged as a promising approach in this context. Recent studies have explored the integration of an integral term with SMC, called I-SMC. This technique has been shown to result in system responses that exhibit chattering phenomena with noticeable state errors. This study aimed to address these issues through the introduction of a novel controller known as Integral Backstepping SMC (IB-SMC). This study demonstrated that IBSMC not only ensured the stability of wind turbines but also outperformed other control strategies, even in the presence of disturbances of approximately 30% of the rated electromagnetic torque. To validate the effectiveness of the proposed controller, extensive simulation tests were carried out using MATLAB /Simulink software to evaluate the controller's responsiveness to rapid changes in conditions, as well as its robustness and overall performance. A comparison was carried out between the IBSMC and previous SMCs to evaluate their ability to reduce steady-state error and chattering.

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“…I-SMC incorporates an integral term to minimize the tracking error [2,35]. Formally, the I-SMC reads as [31,[43][44]:…”

Section: Integral Sliding Mode Controlmentioning

confidence: 99%

Section: Integral-backstepping Smc (Ib-smc)mentioning

confidence: 99%

Integral Backstepping Sliding Mode Control for Maximizing the Power Production of Wind Turbines

Abouri,

El Guezar,

Bouzahir

et al. 2024

Eng. Technol. Appl. Sci. Res.

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show abstract

“…SMC has been regarded as one of the most powerful way to deal with matching uncertainties and nonlinearities. Sumbekov et al (2020); Ren and Chen (2015); Ge et al (2020); Li et al (2022a) In this method, by designing appropriate switching surfaces and sliding mode controllers, states of the system reach a sliding manifold and then converge to the origin. In a real physical system network, the uncertain disturbance is unavoidably to be considered when we discuss the consensus for MASs.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode preview control based consensus for nonlinearmulti-agent systems

Lan,

Zheng,

Zheng

2024

Preprint

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In this paper, the design of sliding mode preview control (SMPC) based consensus for nonlinear multi-agent systems (MASs) is presented. First, a novel preview information-based equality constraint is introduced and an augmented error system is constructed for each follower agent. Next, a distributed SMPC strategy is proposed by designing integral-type sliding function. Thereafter, the preview control (PC) law design problem is transformed into the stability problem of the augmented system and a linear matrix inequality (LMI) based sufficient condition is given, which can guarantee the states of all agents achieving tracking consensus and ensure a guaranteed level of performance on sliding surface. A distributed adaptive sliding mode control (SMC) law is synthesized such that the sliding surface is reachable. Further, by employing the Lyapunov theory together with mathematical analysis, the gains of the controller can be obtained. Finally, two simulation examples demonstrate the effectiveness and superiority of the developed method.

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Fuzzy Luenberger Observer for Sensorless Control of Induction Motor Drive

Nguyen,

Tran

et al. 2024

Lecture Notes in Electrical Engineering

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Takagi–Sugeno fuzzy-based integral sliding mode control for wind energy conversion systems with disturbance observer

Cited by 13 publications

References 30 publications

Integral Backstepping Sliding Mode Control for Maximizing the Power Production of Wind Turbines

Integral Backstepping Sliding Mode Control for Maximizing the Power Production of Wind Turbines

Sliding mode preview control based consensus for nonlinearmulti-agent systems

Fuzzy Luenberger Observer for Sensorless Control of Induction Motor Drive

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