Abstract
Vector control system for induction motor decouples current by coordinate transformation, in order to gain a wide range of speed regulation. This flux orientation control system is sensitive to the parameters of rotor in induction motor, results in poor robustness. While the Type-2 fuzzy logic, developed from type-1 fuzzy logic, is preferable for resolving the problem about uncertainty of parameters. The adoption of type-2 fuzzy logic in the field of Vector control system for induction motor is a promising approach to resolve the problem about the poor robust result from the change of rotor parameters in induction motor control system. However, due to its high complexity and the need for large amount of calculation, type-2 fuzzy logic is not applied well in real-time system like induction motor control system. In this article, a type-2 fuzzy induction motor is designed through a novel IEKM type reduction algorithm. Besides, a simplified vector control system for fast type-2 induction motor is designed based on the Column pivot element SVD-QR algorithm. The effectiveness of this system is confirmed by simulation and the test result.
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Pan, J., Wang, C., Lan, Y., Zhang, W. (2018). A Robust Fast Type-2 Fuzzy Induction Control System. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2017 Chinese Intelligent Systems Conference. CISC 2017. Lecture Notes in Electrical Engineering, vol 460. Springer, Singapore. https://doi.org/10.1007/978-981-10-6499-9_28
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DOI: https://doi.org/10.1007/978-981-10-6499-9_28
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