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Synchronous Reluctance Motor Speed Tracking Using a Modified Second-Order Sliding Mode Control Method

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Abstract

A modified second-order sliding mode control (MSOSMC) combined with radial basis function (RBF) network estimator is developed and proposed to achieve accurate speed tracking performance for synchronous reluctance motor (SynRM). The dynamic model of SynRM system has the properties of parameter variations, external disturbance, and nonlinear friction force. The MSOSMC method that utilizes continuous control input is applied to reduce the chattering phenomenon. Also, this method utilizes two sliding surfaces to solve the problem of system uncertainty and reduce motor power consumption. The RBF network is developed in MSOSMC scheme to estimate the lumped uncertainty in an on-line fashion. The proposed MSOSMC method uses the system error and control input as the convergence criteria. The adaptation scheme adjusts the parameter vectors based on the Lyapunov theorem approach, so that the asymptotic stability of the developed motor system can be guaranteed. Experimental results show that the MSOSMC structure achieves the better tracking performances in terms of root-mean-square error compared with the traditional SOSMC method under different speed tracking conditions.

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Acknowledgements

The authors would like to thank the Ministry of Science and Technology of the Republic of China, Taiwan, for financially supporting this research under Contract Nos. MOST 105-2622-E-224-010-CC3, MOST 107-2221-E-224-040.

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Correspondence to Wei-Lung Mao.

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The author has received research grants from Ministry of Science and Technology of the Republic of China, Taiwan. Wei-Lung Mao declares that there is no conflict of interest regarding the publication of this paper.

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Mao, WL., Chu, CT. & Hung, CW. Synchronous Reluctance Motor Speed Tracking Using a Modified Second-Order Sliding Mode Control Method. Neural Process Lett 51, 251–270 (2020). https://doi.org/10.1007/s11063-019-10085-x

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