A second order sliding mode control and a neural network to drive a knee joint actuated orthosis

Mefoued, Saber

doi:10.1016/j.neucom.2014.12.047

Cited by 62 publications

(40 citation statements)

References 33 publications

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“…Another efficiency solution consists to substitute the discontinuous control signal by fuzzy logic one has also been used recently in some research works [13][14][15]. For the same goal the notion of HOSM control has also proven its competence in [16,17] for different applications.…”

Section: Introductionmentioning

confidence: 99%

A New DTC Scheme using Second Order Sliding Mode and Fuzzy Logic of a DFIG for Wind Turbine System

Boudjema¹,

Taleb²,

Yahdou³

2016

ijacsa

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Abstract-This article present a novel direct torque control (DTC) scheme using high order sliding mode (HOSM) and fuzzy logic of a doubly fed induction generator (DFIG) incorporated in a wind turbine system. Conventional direct torque control strategy (C-DTC) using hysteresis controllers presents considerable flux and torque undulations at steady state period. In order to ensure a robust DTC method for the DFIG-rotor side converter and reduce flux and torque ripples, a second order sliding mode (SOSM) technique based on super twisting algorithm and fuzzy logic is used in this paper. Simulation results show the efficiency of the proposed method of control especially on the quality of the provided power comparatively to a C-DTC.

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Section: Introductionmentioning

confidence: 99%

A New DTC Scheme using Second Order Sliding Mode and Fuzzy Logic of a DFIG for Wind Turbine System

Boudjema¹,

Taleb²,

Yahdou³

2016

ijacsa

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show abstract

“…Note that the human locomotion satisfies the smooth characteristics. Mathematical expression of the desired trajectory can be expressed as follows [14]:…”

Section: Trajectory Generationmentioning

confidence: 99%

“…Nowadays, there have been several published papers on control strategies of human-robot cooperative control [13][14][15][16][17][18]. For instance, a sensitivity amplification control is proposed in [19] which could track the desired trajectory by minimizing the interaction torque.…”

Section: Introductionmentioning

confidence: 99%

Command Filter Backstepping Sliding Model Control for Lower‐Limb Exoskeleton

Yang

Zhang

Wang

et al. 2017

Mathematical Problems in Engineering

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A command filter adaptive fuzzy backstepping control strategy is proposed for lower-limb assisting exoskeleton. Firstly, the humanrobot model is established by taking the human body as a passive part, and a coupling torque is introduced to describe the interaction between the exoskeleton and human leg. Then, Vicon motion capture system is employed to obtain the reference trajectory. For the purpose of obviating the "explosion of complexity" in conventional backstepping, a second-order command filter is introduced into the sliding mode control strategy. The fuzzy logic systems (FLSs) are also applied to handle with the chattering problem by estimating the uncertainties and disturbances. Furthermore, the stability of the closed-loop system is proved based on the Lyapunov theory. Finally, simulation results are presented to illustrate the effectiveness of the control strategy.

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“…The latter is neglected in many works e.g. in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: B Modeling Of the Dfigmentioning

confidence: 99%

“…One of the conventional control schemes used actually for the DFIG-based wind turbine is the Direct Torque Control based on switching table and hysteresis comparators [18]. This strategy, however, has a few disadvantages which limit its use, such as variable switching frequency and torque ripple [19,20].…”

Section: Introductionmentioning

confidence: 99%

Direct Torque Control of Saturated Doubly-Fed Induction Generator using High Order Sliding Mode Controllers

Bounadja¹,

Djahbar²,

Mahmoudi³

et al. 2016

ijacsa

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Abstract-The present work examines a direct torque control strategy using a high order sliding mode controllers of a doublyfed induction generator (DFIG) incorporated in a wind energy conversion system and working in saturated state. This research is carried out to reach two main objectives. Firstly, in order to introduce some accuracy for the calculation of DFIG performances, an accurate model considering magnetic saturation effect is developed. The second objective is to achieve a robust control of DFIG based wind turbine. For this purpose, a Direct Torque Control (DTC) combined with a High Order Sliding Mode Control (HOSMC) is applied to the DFIG rotor side converter. Conventionally, the direct torque control having hysteresis comparators possesses major flux and torque ripples at steady-state and moreover the switching frequency varies on a large range. The new DTC method gives a perfect decoupling between the flux and the torque. It also reduces ripples in these grandeurs. Finally, simulated results show, accurate dynamic performances, faster transient responses and more robust control are achieved.

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A second order sliding mode control and a neural network to drive a knee joint actuated orthosis

Cited by 62 publications

References 33 publications

A New DTC Scheme using Second Order Sliding Mode and Fuzzy Logic of a DFIG for Wind Turbine System

A New DTC Scheme using Second Order Sliding Mode and Fuzzy Logic of a DFIG for Wind Turbine System

Command Filter Backstepping Sliding Model Control for Lower‐Limb Exoskeleton

Direct Torque Control of Saturated Doubly-Fed Induction Generator using High Order Sliding Mode Controllers

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