Sliding mode and fault tolerant control for multicell converter four quadrants

Meradi, Samir; Benmansour, K.; Herizi, K.; Tadjine, Mohamed; Boucherit, Mohamed Salah

doi:10.1016/j.epsr.2012.08.014

Cited by 17 publications

(13 citation statements)

References 9 publications

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“…After some transformations [17], these functions are homogeneous form a current rewritten as follows:…”

Section: Calculation Of Switching Functionsmentioning

confidence: 99%

“…Other choices of the Lyapunov function can be considered and ensure better performance by imposing a dynamic or minimizing a quadratic criterion [17]. The following Lyapunov function:…”

Section: Series Multicells Converter Structurementioning

confidence: 99%

“…Various control methods have been proposed for the multicell converters, cite as nonlinear control based on input-output linearization [10], Robust Switching Control Systems with Input Delay [8], predictive control [5], [15], hybrid control [4], sliding mode control [1], [6], [17], Exponential Mapping Function [12].…”

mentioning

confidence: 99%

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Implementation of a New Super Twisting Mode Algorithm Controlled by Dspace: Application to Series Multicell Converter

Skender¹,

Tlemçani²

2016

SIC

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The performances of electronic power converters have been evolving through the last decades, in an attempt to be more reliable and efficient. This has been carried out thanks to the developments of the semiconductor of power components and the new system of energy conversion. These high performances are directly linked to the converter's topology and its power electronic components.Multicell converters are currently embedded in many electric devices. Their aim is to convert an electrical energy shape (voltage /current / frequency) to another one.This new topology presents two additional advantages: the possibility of a modular construction and the possibility of using components having large diffusion.On the other hand, the following model must be simple to allow real time control and precise enough to achieve the desired behaviour. Because it's based on continuous variables and discrete variables, multicell converter modelling is claimed to be difficult [19], [20]. According to previous studies, three types of models could be found. The average model consists in calculating average value of all variables during one sampling period. Nevertheless, this model cannot represent the capacitors terminal voltage natural balancing; the harmonic model based on the decomposition in Fourier series of control signals, which determine the harmonics phase and amplitude across the switches, also determining the harmonic current of the load to determine the evolution of capacitor voltages;The instantaneous model considers all the switching over a period (discrete location The main objective of this paper is to show that the multicellular converter is very well suited for a control set-up using sliding modes and which will be demonstrated by experiment. Problem PositionIn this section, we consider a nonlinear system whose dynamics is described by the differential system:Where:T ∈ X : represents the state vector, X ⊂ℜ n , X is a differentiablemanifold or an open subset of ℜ n .u: represents the command.f:is assumed sufficiently differentiable function, but known so uncertain.t: is the time.The system ẋ = f ( t , x ,u ) include those of the form:The problem is always to force the trajectories of the system to evolve on the sliding surfaceBeing a real-valued function sufficiently differentiable such that its ( r−1 ) first derivatives with respect to time are functions of the state x (which means they do not contain any discontinuity.) defines a submanifold of ( n−1 ) dimension called sliding surface or switching. Sliding Mode ControlThe sliding mode control is a variable structure control can change in structure and switching between two values depending on a property specific switching logic s( x ) .The principle of sliding mode control is to constrain the system to reach a given surface called sliding surface and remain there until the balance. This control is done in two steps: the convergence towards the surface and then sliding along it ( The synthesis of sliding mode control is done in three steps:-Choice of the sliding surf...

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“…After some transformations [17], these functions are homogeneous form a current rewritten as follows:…”

Section: Calculation Of Switching Functionsmentioning

confidence: 99%

“…Other choices of the Lyapunov function can be considered and ensure better performance by imposing a dynamic or minimizing a quadratic criterion [17]. The following Lyapunov function:…”

Section: Series Multicells Converter Structurementioning

confidence: 99%

See 1 more Smart Citation

Implementation of a New Super Twisting Mode Algorithm Controlled by Dspace: Application to Series Multicell Converter

Skender¹,

Tlemçani²

2016

SIC

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“…Several reconfigurations for different fault-tolerant converters are presented in [18,19]. A fault-tolerant multicell converter is proposed in [15]. A fault-tolerant matrix converter is studied in [20].…”

Section: Introductionmentioning

confidence: 99%

“…An adaptive neuro fuzzy interface algorithm is presented in [14] for detection of open circuit failures in grid-connected single phase inverters that uses inverter's output currents for fault detection. A sliding mode observer is used for fault detection in the multicell converter presented in [15]. A very fast FPGA-based fault detection using a "time and voltage criterion" is presented in [16,17].…”

Section: Introductionmentioning

confidence: 99%

Open-circuit switch fault tolerant wind energy conversion system based on six/five-leg reconfigurable converter

Shahbazi

Saadate

Poure

et al. 2016

Electric Power Systems Research

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. (2016) 'Open-circuit switch fault tolerant wind energy conversion system based on six/ ve-leg recon gurable converter.', Electric power systems research., 137 . pp. 104-112. Further information on publisher's website: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

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