Abstract
This investigation describes a permanent magnet brushless direct current motor (PMBLDCM) that is based on an intelligent sensorless driver controller. Digital signal processing integrated circuit (DSPIC) is used as the core of the driver since it exploits microcontroller unit (MCU) and digital signal processor (DSP) technology, has the capacity for high-level computing, and is reliable. Not only sample the back electromotive force (back-EMF) by analog-to-digital converter ADC but also a virtual neutral voltage is retrieved from the lead of the motor during the non-driven sector for a particular phase. An intelligent control law that combines Cerebellar Model Articulation Controller (CMAC) with the PI controller proposes to control a driver. The drive controller allows the PMBLDCM to reach the rated speed rapidly. However, when a mechanical load is applied, having good speed regulation response is obtained by the developed motor drive. The controller realizes the self-adjustment pursuit of the speed control to a better performance.
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References
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Acknowledgments
The authors would like to thank the National Science Council of the Republic of China, Taiwan, for financially supporting this research under Contract No. NSC94-2213-E-212-027.Ted Knoy is also appreciated for his editorial assistance.
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Chen, SC., Lin, YJ., Hsu, MM., Hu, YN. (2013). An Intelligent Sensorless Drive Strategy for a Brushless DC Motor Based on Back-EMF Detection. In: Juang, J., Huang, YC. (eds) Intelligent Technologies and Engineering Systems. Lecture Notes in Electrical Engineering, vol 234. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6747-2_45
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DOI: https://doi.org/10.1007/978-1-4614-6747-2_45
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