Yongqiu Liu1, Shaohui Zhong2,*, Nasreen Kausar3, Chunwei Zhang4,*, Ardashir Mohammadzadeh4, Dragan Pamucar5,6
CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 793-812, 2024, DOI:10.32604/cmes.2023.028175
Abstract In this paper, a stable and adaptive sliding mode control (SMC) method for induction motors is introduced.
Determining the parameters of this system has been one of the existing challenges. To solve this challenge, a
new self-tuning type-2 fuzzy neural network calculates and updates the control system parameters with a fast
mechanism. According to the dynamic changes of the system, in addition to the parameters of the SMC, the
parameters of the type-2 fuzzy neural network are also updated online. The conditions for guaranteeing the
convergence and stability of the control system are provided. In the simulation part, in order… More >
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