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Soft Computing

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09.03.2019 | Methodologies and Application

Fuzzy sliding mode control of servo control system based on variable speeding approach rate

verfasst von: Hao Huang, Md Zakirul Alam Bhuiyan, Qunzhang Tu, Chengming Jiang, Jinhong Xue, Pan Ming, Pei Li

Erschienen in: Soft Computing | Ausgabe 24/2019

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Abstract

In order to optimize the speed control performance of the permanent-magnet synchronous motor system with different disturbances and uncertainties, this paper proposes a fuzzy sliding mode variable structure control (fuzzy-SMC) strategy. First, a variable speed reaching rate is introduced to solve the deficiency of the exponential reaching rate widely used in conventional sliding mode variable structure control (SMC) strategy. Then, a fuzzy controller is designed to adjust the control parameters to overcome the control deviation and improve the dynamic performance of the system. Simulation and experimental results show that when the steady state is reached, the proposed fuzzy-SMC strategy has better response speed than the proportional integral differential strategy and the conventional SMC strategy. It has smaller speed fluctuation, is more robust, and effectively suppresses the chattering phenomenon.

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Titel: Fuzzy sliding mode control of servo control system based on variable speeding approach rate
verfasst von: Hao Huang
Md Zakirul Alam Bhuiyan
Qunzhang Tu
Chengming Jiang
Jinhong Xue
Pan Ming
Pei Li
Publikationsdatum: 09.03.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 24/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-019-03886-8

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