Adaptive sliding mode based active disturbance rejection control method for a direct‐driven wind power conversion system

Wang, Siyue; Li, Shengquan; Gu, Renjing; Ma, Lei; Mengjie, Li

doi:10.1049/joe.2019.1082

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…Traditional linear or nonlinear ESOs are widely employed by existing control methods [ 21 , 22 , 23 , 24 , 25 , 26 ] to estimate disturbances. In order to obtain better estimation performance, decision makers usually provide large gains for ESOs.…”

Section: Design and Analysis Of The Proposed Smc-inesomentioning

confidence: 99%

“…As we know, extended state observer (ESO) as a mature disturbance estimation technology has superior estimation performance [ 17 , 18 , 19 , 20 ]. Therefore, ESO-based sliding-mode control has been widely used in many control fields [ 21 , 22 , 23 , 24 , 25 , 26 ]. Liu et al [ 21 ] proposed an ESO-based SMC by combining a super switching approach and a linear ESO for power converters subjected to external load.…”

Section: Introductionmentioning

confidence: 99%

“…Both guaranteed efficient control performance. To deal with the external and internal disturbances of a wind power system, Wang et al [ 22 ] presented an adaptive SMC based on a linear ESO, which weakened sliding chattering and improved anti-disturbance ability. In order to cope with the dynamic disturbance and uncertainties of steer-by-wire systems, as well as time-varying road environments, Sun et al [ 23 ] designed a nonlinear ESO-based SMC.…”

Section: Introductionmentioning

confidence: 99%

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Improved Nonlinear Extended State Observer-Based Sliding-Mode Rotary Control for the Rotation System of a Hydraulic Roofbolter

Zhang

Guo

Song

2021

Entropy

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This paper develops a sliding-mode control with an improved nonlinear extended state observer (SMC-INESO) for the rotation system of a hydraulic roofbolter with dead-zones, uncertain gain, and disturbances, with the purpose of improving tracking performance. Firstly, the rotation system is modeled to compensate for dead-zone nonlinearity. Then, we present an improved nonlinear extended state observer to estimate disturbances of the rotation system in real time. Moreover, a proportional-integral-differential sliding-mode surface is introduced and an improved sliding-mode reaching law is designed. Based on this, a sliding-mode control law is developed. In order to eliminate the influence of estimation error and uncertain gain, we design two adaptation laws based on the sliding-mode surface and the estimated states. Finally, the effectiveness of the proposed SMC-INESO is verified through comparative simulation studies.

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Section: Design and Analysis Of The Proposed Smc-inesomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved Nonlinear Extended State Observer-Based Sliding-Mode Rotary Control for the Rotation System of a Hydraulic Roofbolter

Zhang

Guo

Song

2021

Entropy

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“…The principle of this control is to drive each error to a "switching surface". Then, the following expression can be written [21], [22]:…”

Section: High-order Sliding Mode Control Approach 41 Principle Of the Sliding Mode Control (Smc)mentioning

confidence: 99%

Output voltage control of a PMSG with the DPC-SVM technique and high-order sliding mode

Moumna

Taleb²,

Boudjema³

2021

IJEECS

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This paper aims to study the control of the output voltage of a wind turbine (WT) which is composed of a permanent magnet synchronous generator (PMSG) connected to an inverter/rectifier. The first tested control on PMSG is based on the classical direct power control (CDPC); this technique uses the active and reactive power as a control variable. Then, to improve the quality of energy and evaluate the performance of the system, we proposed a high-order sliding mode (HOSM) with space vector modulation (SVM) to controlthe output voltage. As a result, the proposed approach presents attractive features such as the chattering-free behavior of the sliding mode. This system was designed for a wind power conversion application in the case of an isolated site. The computer simulations were provided to verify the validity of the proposed control algorithm using the MATLAB/Simulink software.

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“…Several methodologies have been proposed to ameliorate flutter problems, such as observer schemes and smart control methods. Notwithstanding that these methodologies dwindle the flutter and mend the transient response under external intrusions and unmodeled dynamics, there are either time-consuming or calls for elaborated mathematics [24][25][26][27]. To slacken the impact of the flutter, an enhanced cuckoo optimization algorithm (ECOA) is used to automatically adjust the control parameters of robust SMC, thus maintaining PV system's splendid performance.…”

Section: Introductionmentioning

confidence: 99%

High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications

Chang

2020

Micromachines

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Photovoltaic (PV) power generation has been extensively used as a result of the limited petrochemical resources and the rise of environmental awareness. Nevertheless, PV arrays have a widespread range of voltage changes in a variety of solar radiation, load, and temperature circumstances, so a maximum power point tracking (MPPT) method must be applied to get maximum power from PV systems. Sliding mode control (SMC) is effectively used in PV power generation due to its robustness, design simplicity, and superior interference suppression. When the PV array is subject to large parameter changes/highly uncertain conditions, the SMC leads to degraded steady-state performance, poor transient tracking speed, and unwanted flutter. Therefore, this paper proposes a robust intelligent sliding mode MPPT-based high-performance pure sine wave inverter for PV applications. The robust SMC is designed through fast sliding regime, which provides fixed time convergence and a non-singularity that allows better response in steady-state and transience. To avoid the flutter caused by system unmodeled dynamics, an enhanced cuckoo optimization algorithm (ECOA) with automatically adjustable step factor and detection probability is used to search control parameters of the robust sliding mode, thus finding global optimal solutions. The coalescence of both robust SMC and ECOA can control the converter to obtain MPPT with faster convergence rate and without untimely trapping at local optimal solutions. Then the pure sine wave inverter with robust intelligent sliding mode MPPT of the PV system delivers a high-quality and stable sinusoidal wave voltage to the load. The efficacy of the proposed method is validated on a MPPT pure sine wave inverter system by using numerical simulations and experiments. The results show that the output of the proposed PV system can improve steady-state performance and transient tracking speed.

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Adaptive sliding mode based active disturbance rejection control method for a direct‐driven wind power conversion system

Cited by 8 publications

References 10 publications

Improved Nonlinear Extended State Observer-Based Sliding-Mode Rotary Control for the Rotation System of a Hydraulic Roofbolter

Improved Nonlinear Extended State Observer-Based Sliding-Mode Rotary Control for the Rotation System of a Hydraulic Roofbolter

Output voltage control of a PMSG with the DPC-SVM technique and high-order sliding mode

High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications

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