Novel Fast Super Twisting For Dynamic Performance Enhancement of Double Fed Induction Generator Based Wind Turbine: Stability Proof and Steady State Analysis

The Super-Twisting Sliding Mode Controller (STSMC) is considered one of the simplest and most practical nonlinear control systems, due to its ease of application in industrial systems. Its application helps minimize the chattering problem and significantly improves the durability of the system. However, this controller has several faults and concerns, as its use does not promote the expected improvement of systems. To overcome these shortcomings and optimize the efficiency and performance of this technique, a new method is suggested for the super twisting algorithm (STA). This study proposes and uses a new STA approach, named the fast super twisting algorithm (FSTA), applied to the traditional IFOC strategy to decrease the fluctuations of torque, current, and active power. The results from this suggested IFOC-FSTA method are compared with those of the traditional SMC and STA methods. The results obtained from this study demonstrate that the suggested method, which is based on FSTA, has outperformed the traditional method in terms of ripple ratio and response dynamics. This demonstrates the robustness of the proposed approach to optimize the generator performance and efficiency in the double-fed induction generator-based wind system.