Experimental studies were performed to compare the performance of the reference tracking and error elimination of both controllers, and the graphs of the results were presented.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, a fractional order sliding mode controller (FOSMC) and adaptive fuzzy fractional order sliding mode controller (AFFOSMC) are designed for speed control of the Brushless DC motor and the performance of the controllers have been tested in real time.
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Key Findings & Data:In this study, a fractional order sliding mode controller (FOSMC) and adaptive fuzzy fractional order sliding mode controller (AFFOSMC) are designed for speed control of the Brushless DC motor and the performance of the controllers have been tested in real time.
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Conclusion & Impact:Experimental studies were performed to compare the performance of the reference tracking and error elimination of both controllers, and the graphs of the results were presented.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:BLDC motor · Fractional sliding mode control · Adaptive fuzzy fractional sliding mode control
Abstract
In this study, a fractional order sliding mode controller (FOSMC) and adaptive fuzzy fractional order sliding mode controller (AFFOSMC) are designed for speed control of the Brushless DC motor and the performance of the controllers have been tested in real time. Experimental studies were performed to compare the performance of the reference tracking and error elimination of both controllers, and the graphs of the results were presented.
ORMAN, K. (2018). Real-Time Speed Control of BLDC Motor Using Adaptive Fuzzy Fractional Sliding Mode Controller. International Journal of Applied Mathematics Electronics and Computers, Cilt: 6 - Sayı: 4, 45–52. https://ajindex.com/articles/258049
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