Fast Terminal Sliding Mode Control of Permanent Magnet In-Wheel Motor Based on a Fuzzy Controller
Hao Huang,
Qunzhang Tu,
Ming Pan,
Chenming Jiang and
Jinhong Xue
Additional contact information
Hao Huang: Field Engineering College, Army Engineering University of PLA, Nanjing 210007, China
Qunzhang Tu: Field Engineering College, Army Engineering University of PLA, Nanjing 210007, China
Ming Pan: Field Engineering College, Army Engineering University of PLA, Nanjing 210007, China
Chenming Jiang: Field Engineering College, Army Engineering University of PLA, Nanjing 210007, China
Jinhong Xue: Field Engineering College, Army Engineering University of PLA, Nanjing 210007, China
Energies, 2020, vol. 13, issue 1, 1-17
Abstract:
A fast terminal sliding mode control is proposed in this paper for improving the dynamic performance and robustness of a permanent magnet in-wheel motor system driven by a voltage source inverter. Firstly, a fast terminal sliding mode approaching law was designed to accelerate the approaching rate of the control system. Then, a torque load observer was designed to compensate for disturbances and uncertainties. Finally, fuzzy rules were designed to suppress the chattering phenomenon. Simulation and experimental results demonstrated that the fast terminal sliding mode control strategy presented better response speed than the conventional sliding mode control strategy. It had better dynamic performance and anti-interference and effectively reduced the chattering phenomenon in the control process.
Keywords: permanent magnet in-wheel motor; fast terminal sliding mode control; torque load observer; chattering phenomenon (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/13/1/188/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/1/188/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:1:p:188-:d:304038
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().