This paper presents a comparative study between the conventional PI (Proportional Integral) and backstepping controllers applied to the DFIG (Doubly Fed Induction Generator) used in WECS (Wind Energy Conversion System). These two different control strategies proposed in this work are developed to control the active and reactive power of the DFIG on the one hand, and to maintain the DC-link voltage constant for the inverting function on the other hand. This is ensured by generating control signals for two power electronic converters, RSC (Rotor Side Converter) and GSC (Grid Side Converter). In order to optimise the power production in the WT (Wind Turbine), an MPPT (Maximum Power Point Tracking) algorithm is applied along with each control technique. To simulate the effectiveness of the proposed controllers, MATLAB/Simulink Software is used, and the obtained results are analysed and discussed to compare PI and backstepping controllers in terms of robustness against wind speed variations and tracking performance in dynamic and steady states.

In this paper, we are going to introduce the modeling and control of the DFIG (Doubly-Fed Induction Generator) used in the WECS (Wind Energy Conversion System). A Non-Linear control based on the backstepping approach to control the RSC (Rotor Side Converter) is proposed in this study. The aim is to maximize the power extracted from WT (Wind Turbine). This is accomplished, specifically, by controlling both the active and reactive power of the DFIG. To validate and simulate the effectiveness of this control strategy, Matlab/Simulink software environment was used. The obtained results are analyzed and discussed to evaluate the system performances in terms of robustness against random wind speed variations and parametric variations as well. The proposed simulations show that this technique presents high performances compared to other classical linear controllers.

This work presents the control of the double fed induction generator (DFIG) used in the wind conversion system (WCS). The studied model is based on the control of the two converters grid side converter (GSC) and rotor side converter (RSC), in order to extract the maximum of power and also to keep the direct current (DC) bus voltage constant. The control strategy used here is based on linear active disturbance rejection control (LADRC) controllers. These are known, in the field of control systems, by their performance and robustness and allow a very good rejection of disturbances which can affect the wind system. In addition, this kind of controllers could help to meet the requirements of robustness against the variations of the parameters of the system and the uncertainties of its mathematical model. To validate the effectiveness of the proposed control, the system was modeled and tested by numerical simulation using MATLAB/Simulink software. The results carried out are discussed and analyzed in terms of references tracking, robustness and disturbance rejection. The results obtained have shown shown that the proposed control is promising and useful.

This paper introduces a robust and inhanced version of dual control approach based on sequence decomposition loops in order to limit transient over-currents and improving the wind turbine’s operation during asymmetrical voltage dips faults. Indeed, the doubly fed induction generator (DFIG), employed in wind energy conversion system (WECS) to produce electrical energy from wind, highly susceptible to voltage drops, which can cause transient overcurrents in both the stator and the rotor. Without any protection system, these over-currents might damage the DFIG and its converters. The strategy put forward in this work minimizes the consequences of voltage dips on wind system functioning, such as electromagnetic torque fluctuations and it enables wind turbines to maintain electrical connection with the grid in the occurrence of such disturbances. The carried-out results are promising and showed that the proposed control method can effectively minimise the oscillations in electromagnetic torque, reactive power and DC bus voltage during the asymmetrical voltage dip. This analysis also demonstrated its ability to limit the transient over-currents of the DFIG.

This work presents the crowbar active circuit protection method in case of voltage dips on the grid affecting the DFIG based wind power conversion system (WPCS). The sudden voltage drop produces high values of stator and rotor currents which also leads to an increase of the DC bus voltage. Without protection, the rotor side converter (RSC) can be destroyed and the DFIG can be damaged. With the proposed method, the currents will be limited to prescribed values at the onset and at the disappearance of the fault, which will allow to keep the DFIG connected to the grid during the voltage dip and to recover its normal operation after the fault disappearance.

Stability issues in cyber-physical systems (CPS) arise from the challenging effects of nonlinear dynamics relation to multi-input, multi-output systems. This research proposed a robust control framework that combines Jacobian linearization, Lyapunov stability analysis, and linear quadratic regulator (LQR) control via linear matrix inequalities (LMIs). The robust methodology does the following: it applies linearization on the dynamics of the CPS; it establishes the stability of the system using Lyapunov functions and LMIs; and it designs an LQR controller. The proposed framework was validated through a comparison between the behavior of a linearized and nonlinear model. The autonomous vehicle application showed: a settling time of 20 seconds; an overshoot of 3.8187%; and a steady-state error of 2.688×10⁻⁷. The proposed framework is robustly demonstrated and has applications to areas in automation and smart infrastructure. Future work includes optimizing the design of weighting matrices and developing adaptive control features.