Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 11, issue 2
Articles | Volume 11, issue 2
https://doi.org/10.5194/ms-11-465-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-11-465-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 2
Research article
 | 
27 Nov 2020
Research article |  | 27 Nov 2020

Novel semiactive suspension using a magnetorheological elastomer (MRE)-based absorber and adaptive neural network controller for systems with input constraints

Xuan Bao Nguyen, Toshihiko Komatsuzaki, and Hoa Thi Truong

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Short summary
A novel bench-scale suspension plant, using magnetorheological elastomer (MRE)-based absorbers accompanied with an adaptive and global neural-network-based tracking controller, is introduced. The global adaptive neural network is used to estimate the uncertain dynamics of the quarter-car model. An auxiliary design system was added to the controller to deal with input constraint effects, and the state was analyzed for its tracking stabilization. All the signals are global, uniform, and ultimate.
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