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Disturbance observer-based integral fuzzy sliding-mode control and its application to wind turbine system

机译:基于干扰观测器的积分模糊滑模控制及其在风力发电系统中的应用

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摘要

In this study, a disturbance observer-based integral fuzzy sliding-mode control methodology for a wind turbine system with a non-linear permanent magnet synchronous generator (PMSG) is proposed using the Takagi-Sugeno fuzzy model. To reduce the hardware cost of the fuzzy controller membership function, an imperfect premise matching condition is considered. Considering the matched disturbance, and an external disturbance acting on the system, a novel integral fuzzy sliding surface is proposed based on a fuzzy disturbance observer (FDOB). Therefore, various forms of external disturbances can be estimated using the FDOB. In addition, a sufficient condition for guaranteeing the asymptotic stability of the sliding motion with $H_{infty }$H infinity performance is proposed using a Lyapunov function and derived using a linear matrix inequality format. Furthermore, a reachability problem of the system states over the proposed sliding surface is derived through an appropriate Lyapunov function. Finally, the simulations for a wind turbine system using a PMSG are implemented to verify the effectiveness of the proposed method as compared with previous studies.
机译:在这项研究中,使用Takagi-Sugeno模糊模型,提出了一种基于干扰观测器的带有非线性永磁同步发电机(PMSG)的风力发电机系统的积分模糊滑模控制方法。为了降低模糊控制器隶属函数的硬件成本,考虑了不完善的前提匹配条件。考虑到匹配的扰动,并考虑到系统的外部扰动,提出了一种基于模糊扰动观测器(FDOB)的新型积分模糊滑动面。因此,可以使用FDOB估算各种形式的外部干扰。此外,利用Lyapunov函数提出了利用$ H _ { infty} $ H无穷大性能来保证滑动运动的渐近稳定性的充分条件,并利用线性矩阵不等式格式导出了该条件。此外,通过适当的李雅普诺夫函数得出了系统状态在建议的滑动表面上的可达性问题。最后,对使用PMSG的风力涡轮机系统进行了仿真,以验证与以前的研究相比,该方法的有效性。

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