An Adaptive Control Method Based on Interval Fuzzy Sliding Mode for Direct Matrix Converters
Publish place: International Journal of Industrial Electronics, Control and Optimization، Vol: 3، Issue: 2
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 182
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IECO-3-2_006
تاریخ نمایه سازی: 20 تیر 1401
Abstract:
In this paper, a new adaptive control method is proposed for direct matrix converters. The proposed method uses interval type-۲ fuzzy logic integrated with sliding mode control. Employing the sliding mode control in matrix converters leads to an efficient choice of switching combinations and a reliable reference tracking. The main problem of the sliding mode control is the chattering phenomenon that degrades the controller performance through injecting high-frequency variations in the controller variables. The proposed method incorporates the interval type-۲ fuzzy with the sliding mode control to mitigate the chattering problem. The sliding mode switch surface can be adjusted adaptively according to the system state and the proposed fuzzy compensation based on the Lyapunov stability theorem, so that the control system has the characteristics of low chattering effect and appropriate operation quality. Comprehensive evaluations of the waveforms are conducted for the new matrix converter through various simulations. Simulation results verify the effectiveness of the proposed adaptive control method for matrix converter in various conditions, and its superiority in chattering suppression in comparison to the conventional sliding mode control and the boundary layer method.
Keywords:
Authors
Mehdi Bekrani
Faculty of Electrical and Computer Engineering, Qom University of Technology, Qom, Iran
Mojtaba Heydari
Qom University of Technology
Seyedeh Tahereh Behrooz
Faculty of Electrical and Computer Engineering, Qom University of Technology, Qom, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :