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Published in: Neural Computing and Applications 4/2019

21-07-2017 | Original Article

MR-SAS and electric power steering variable universe fuzzy PID integrated control

Authors: Zhaolong Cao, Shuai Zheng

Published in: Neural Computing and Applications | Issue 4/2019

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Abstract

In order to solve the problem of MR-SAS and electric power steering (EPS) integrated control, the suspension and steering system integrated dynamic model was established, and the variable universe fuzzy PID integrated controller was designed. Due to the difficulty of self-adaptive and the superiority of compound control of fuzzy control, the variable universe fuzzy PID compound controller based on fuzzy inference was designed. The fuzzy on–off control based on trapezoidal membership function was used to the fuzzy control and PID control. And the random road input and steering wheel angle step input simulation experiment was carried out in the integrated system. Compared with the passive system and separate control, experimental results show that the integrated control system has obvious superiority.

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Metadata
Title
MR-SAS and electric power steering variable universe fuzzy PID integrated control
Authors
Zhaolong Cao
Shuai Zheng
Publication date
21-07-2017
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 4/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-017-3157-7

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