Performance of a Robust Passivity-Fuzzy Logic Controller for a Doubly Fed Induction Generator | ||||
| JES. Journal of Engineering Sciences | ||||
| Articles in Press, Accepted Manuscript, Available Online from 06 September 2025 | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2025.405271.1622 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Izzeddine Allali1; Izzeddine Allali   2
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| 1IRECOM Laboratory, Faculty of Electrical Engineering, Djilali Liabès University of Sidi Bel-Abbès, BP 89 Sidi Bel Abbes 22000, Algeria | ||||
| 2IRECOM Laboratory, Faculty of Electrical Engineering, Djilali Liabès University of Sidi Bel-Abbès, BP 89 Sidi Bel Abbes 22000, Algeria | ||||
| Abstract | ||||
| Abstract The article discussed a robust control strategy that combined passivity with interval type-2 fuzzy logic for a wind energy conversion system (WECS) using a variable speed wind turbine (WT) and a doubly fed induction generator (DFIG). The main objective was to optimize active and reactive power flow from the generator to the grid while maintaining stable operation, with rotor signals regulated by a bidirectional converter. This approach effectively managed high uncertainty in complex, nonlinear systems by merging interconnection and damping assignment (IDA) passivity-based control (PBC) with interval type-2 fuzzy logic control (IT2-FLC). The IDA-PBC method compensated for nonlinear characteristics without eliminating them, while IT2-FLC improved how uncertainties were handled by addressing vagueness and unreliable information. A comprehensive comparison with passivity-based control (PBC) was conducted, and the proposed methods were evaluated under various conditions, including speed fluctuations and parameter variations. simulation results indicate that the proposed passivity-fuzzy logic Controller (PFLC) significantly outperforms IDA-PBC strategies in terms of rise time, reference tracking accuracy, error minimization, overshoot, and power ripple. Furthermore, the PFLC achieves a reduction in total harmonic distortion (THD) by 8.35% and 6.61% in two separate tests relative to the IDA-PBC approach. The integration of IDA-PBC and IT2-FLC enhanced the system's dynamic performance by reducing sensitivity to disturbances and improving its ability to manage parameter changes, resulting in greater stability and robustness under varying conditions. | ||||
| Keywords | ||||
| Doubly fed induction generator; Wind power; Passivity-based control; IT2-FLC; IDA-PBC | ||||
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