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Optimization of SMC-R Control based Rotor Current using Bird Swarm Algorithm for the Distorted DFIG-WPS

机译:鸟类群算法对扭曲DFIG-WPS的SMC-R控制转子电流的优化

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This work offers developed control of the rotor outlet current relying on the online gains adaptation of Sliding Mode Control (SMC) with resonant function regulator using discrete adapted Bird Swarm Optimization (ABSA) for the Doubly Fed Induction Generator (DFIG) based wind power system (WPS) during distorted main voltage. The resonant function involved in SMCR-ABSA handle (5th- and 7th-grade) harmonics on the quantities system with different regulation targets without an extra account for the harmonics items succession. The simulated SMCR-ABSA dynamic reaction computational analysis evinces that the ABSA algorithm gave highly preferential results mitigating the harmonic ratio associated with quantities compared to the reported SMCR-BAT, SMC, PI+R and PI controllers. Furthermore, the ABSA algorithm improved the global solutions search and convergence within 1e-2 tolerance range during iterations compared to ordinary BAT algorithm.
机译:该工作提供了使用离散的鸟类群优化(ABSA)的谐振功能调节器的滑模控制(SMC)的转子出口电流为转子出口电流提供了对依赖于滑模控制(SMC)的转子出口电流。基于双馈感应发生器(DFIG)的风电系统( WPS)在扭曲的主电压期间。 SMCR-ABSA手柄中涉及的共振功能(5 th - 和7 th - 不同调节目标的数量系统的谐波,没有额外的谐波项目的额外账户。模拟的SMCR-ABSA动态反应计算分析表明,与报告的SMCR-BAT,SMC,PI + R和PI控制器相比,ABSA算法缓解了与量相关的谐波比。此外,与普通BAT算法相比,ABSA算法在迭代期间改善了在迭代期间的1E-2公差范围内的全局解决方案搜索和收敛。

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