A comparison between PI &amp; SMC used for decoupled control of PMSG in a variable speed wind energy system

Jena, Narendra Kumar; Mohanty, Kanungo Barada; Pradhan, Haimabati; Sanyal, S. K.

doi:10.1109/epetsg.2015.7510075

Cited by 10 publications

(4 citation statements)

References 12 publications

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“…Step 1: Calculation of reference rotor currents define the error "e " and "e " as follows: ensure the stability of the subsystem according to Lyapunov this, we choose it in the form [35], [36], [37]:…”

Section: Withmentioning

confidence: 99%

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Preprint

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This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems, and the improvement of the quality of energy produced in the grid. The use of the Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations) which reduces the precision of the system. we propose in this work a solution to cancel this chattering phenomenon, by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power are very important. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work either by follow-up or robustness tests show a great improvement in terms of performance compared to other control techniques.

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Section: Withmentioning

confidence: 99%

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Preprint

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“…Proof of Theorem 1. The closed-loop system as presented by (17), (24), and (28) can be proved to be stable utilizing a non-negative Lyapunov function ∈ ℝ, written as…”

Section: Stability Analysismentioning

confidence: 99%

“…The linear controller used for comparison in this experiment is a cascaded PI controller, as shown in Figure 2 [9][10][11][12]14,24]. The linear controller shown above has been appropriately tuned for optimal performance with respect to rotational speed control.…”

Section: Linear Controller Setupmentioning

confidence: 99%

“…Sliding mode controllers manage uncertainties through variable structure control and use a model-based approach to improve dynamic response times, oftentimes utilizing backstepping techniques [23]. Comparison to the vector control shows that sliding mode controllers reduce overshoot and response times when there is a shift in operation point [23,24].…”

Section: Introductionmentioning

confidence: 99%

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A Robust Nonlinear Controller for PMSG Wind Turbines

Hawkins

McIntyre

2021

Energies

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In this paper, a nonlinear backstepping controller is proposed to manage the performance of a full-variable permanent magnet synchronous generator wind turbine. This nonlinear controller achieves a rotational speed objective for the generator and is validated through Lyapunov-based stability analysis. Additionally, this objective is accomplished without a measurement for wind speed that influences the wind torque. The proposed scheme is compared to a typical linear controller through simulation results. Simulation tests are performed to compare the response time and average error of each controller in both a drastic and realistic dynamic wind environment. These results demonstrate that the proposed controller is far more robust to wind turbulence than traditional control schemes. The simulation results of this study indicate a 1000% increase in response time and 3000% decrease in average controller error.

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Power Quality Improvement of Microgrid with Cascaded Controller-Based PMSG Used in Wind Turbines

Praiselin

Edward

2017

Lecture Notes in Electrical Engineering

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A comparison between PI & SMC used for decoupled control of PMSG in a variable speed wind energy system

Cited by 10 publications

References 12 publications

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

A Robust Nonlinear Controller for PMSG Wind Turbines

Power Quality Improvement of Microgrid with Cascaded Controller-Based PMSG Used in Wind Turbines

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