SDRE-Based Integral Sliding Mode Control for Wind Energy Conversion Systems

Sarsembayev, Bayandy; Suleimenov, Kanat; Mirzagalikova, Botagoz; Duc, Ton

doi:10.1109/access.2020.2980239

Cited by 25 publications

(30 citation statements)

References 50 publications

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“…I rd − V rd . I rq (13) The power converter is an essential component for controlling the WECS. It is composed of two converters (AC/DC/AC) linked by a DC bus.…”

Section: Mathematical Modelling Of the Systemmentioning

confidence: 99%

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Novel deadbeat predictive control strategy for DFIG’s back to back power converter

Bouderbala

Bossoufi

Aroussi

et al. 2022

IJPEDS

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To successfully carry out a wind energy conversion system, it is necessary to simultaneously control the rotor and the grid side. This paper proposes a doubly-fed induction generator's predictive power control. While the powers are controlled indirectly through currents, the latter is controlled using the deadbeat command. Based on discrete-time, the control suggests at each sample period the required voltages to the the-back-to-back converter to reach the desired setpoints, control the powers, and the DC link voltages. For these reasons, a presentation of the system is given first, then a description of the predictive control, followed by applying this strategy on the rotor side control and grid side control. Finally, a random wind profile was applied to analyze the system's performance with a unitary power factor. The simulation results are presented in the MATLAB/Simulink environment using a 1.5 kW DFIG. The results obtained by applying a random wind profile have well fulfilled the objectives of the control and the system robustness is approved by the excellent tracking allowing the machine's internal parameters variation. By comparing the quality and the tracking reference of the proposed control method to other control methods, the deadbeat controller was very promising.

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“…I rd − V rd . I rq (13) The power converter is an essential component for controlling the WECS. It is composed of two converters (AC/DC/AC) linked by a DC bus.…”

Section: Mathematical Modelling Of the Systemmentioning

confidence: 99%

“…In [12] authors suggested sliding mode control. This technique deals very well with uncertainties and parameter variations to make the system more robust [13]. However, this latter is the origin of chattering phenomena [14].…”

Section: Introductionmentioning

confidence: 99%

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

Bouderbala

Bossoufi

Aroussi

et al. 2022

IJPEDS

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show abstract

“…In [19], a robust integraltype TSMC is suggested for grid-side converter of WECS with variable-speed PMSG. An integral SMC method based on numerical solution of a state-dependent Ricatti equation is suggested in [20] for nonlinear feedback control of WECSs with PMSGs. In [21], an adaptive SMC type-2 neuro-fuzzy approach is presented for speed-and power-regulation of DFIG.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Since the Lyapunov function time-derivative is negativedefinite, then, the Lyapunov function (20) gradually decreases and sliding surface s(t) is convergent to zero in finite time.…”

Section: Terminal Sliding Tracker Designmentioning

confidence: 99%

PID-type terminal sliding mode control for permanent magnet synchronous generator based enhanced wind energy conversion systems

2021

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The provision of wind farm (WF) grid-codes (GC) in sustaining grid operations has become imperative, especially for WFs with permanent-magnet synchronous generator (PMSG) wind energy conversion system. Numerous techniques are developed for executing GC requirements in the event of grid faults. Among the methods, an intriguing strategy is to enhance the performance of back-to-back (BTB) converter controllers. In this research, the P ID-type terminal sliding mode control (P ID−TSMC) scheme is implemented for both machine-side and grid-side converter modified controllers of BTB-converter, to reinforce the nonlinear relationship among the state-variable and control input. The application of this control scheme decreases the response time and improves the robustness of the BTBconverter controllers to parameters uncertainty and external disturbances. The grid-side converter tracks the maximum power point, contributing to the generator active power output rapid decrease during faults. This frees up converter capacity for injecting GC-compliant reactive current into grid. Besides, the machine-side converter regulates dc-link voltage, in which its variations during external disturbances decrease substantially with the P ID−TSMC. The discussions over the simulations contemplate on the robustness and efficiency of the implemented P ID−TSMC strategy in comparison to other BTB-converter control strategies.

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“…In order to combat these challenges nonlinear control methods based as sliding mode control (SMC), direct torque control (DTC), fuzzy control (FC), intelligent control (IC), model predictive control (MPC) have been designed for PMSG-based WECS. [18][19][20][21][22][23][24] Integral SMC has ability to eliminate reaching phase with LQR-based linear output feedback controller 19 and conventional state-dependent Riccatti equation (SDRE)-based nonlinear output controller 18 for guaranteeing closed-loop stability. The so-called chattering phenomenon in the sliding surfaces have been reduced by continuous approximation, but in Reference 21 second order SMC controller has been utilized to eliminate chattering.…”

Section: Introductionmentioning

confidence: 99%

Maximum power tracking of variable‐speed wind energy conversion systems based on a near‐optimal servomechanism control system

Sarsembayev

Zholtayev

Duc

2022

Optim Control Appl Methods

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In this article, integral servomechanism based state‐dependent Riccati equation (SDRE) nonlinear output feedback control for wind energy conversion systems (WECSs) has been proposed. The numerical off‐line solving the proposed SDRE control requires to formulate algebraic Riccati equation and algebraic Lyapunov equation. This method approximates the solution of SDRE with Taylor series expansions which are solved with MATLAB solvers. The maximum power point tracking is achieved by defining relation between the optimal angular shaft speed and maximum power providing optimal tip speed ratio in variable‐speed WECSs. The proposed control can significantly reduce the angular shaft speed errors of the permanent magnet synchronous generator (PMSG)‐based WECSs without use of disturbance observers to compensate model uncertainties, modeling errors and noise as in the conventional SDRE control method. The simulation results demonstrate the superior results under mean average errors and root mean square error evaluation methods of the angular shaft speed of PMSG. The performance of the proposed integral servomechanism based SDRE control system has been improved by 80.67% and 80.05% in both scenarios compared to the conventional SDRE control based on compensation technique with disturbance observers.

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SDRE-Based Integral Sliding Mode Control for Wind Energy Conversion Systems

Cited by 25 publications

References 50 publications

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

PID-type terminal sliding mode control for permanent magnet synchronous generator based enhanced wind energy conversion systems

Maximum power tracking of variable‐speed wind energy conversion systems based on a near‐optimal servomechanism control system

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