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An adaptive neuro fuzzy hybrid control strategy for a semiactive suspension with magneto rheological damper

Journal Article


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Abstract


  • The main function of a vehicle suspension system is to isolate the vehicle body from external excitation in order to improve passenger comfort and road holding and to stabilise its movement. This paper considers the implementation of an adaptive neuro fuzzy inference system (ANFIS) with a fuzzy hybrid control technique to control a quarter vehicle suspension system with a semiactive magneto rheological (MR) damper. A quarter car suspension model is set up with an MR damper and a semiactive controller consisting of a fuzzy hybrid skyhook-groundhook controller and an ANFIS model is also designed. The fuzzy hybrid controller is used to generate the desired control force, and the ANFIS is designed to model the inverse dynamics of MR damper in order to obtain a desired current. Finally, numerical simulations of the semiactive suspensions with the ANFIS- hybrid controller, the traditional hybrid controller, and passive suspension are compared. The results of simulations show that the proposed ANFIS-hybrid controller provides better isolation performance than the other controllers.

Publication Date


  • 2014

Citation


  • Nugroho, P. Wahyu., Li, W., Du, H., Alici, G. & Yang, J. (2014). An adaptive neuro fuzzy hybrid control strategy for a semiactive suspension with magneto rheological damper. Advances in Mechanical Engineering, 6 1-11.

Scopus Eid


  • 2-s2.0-84901282125

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3481&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2472

Has Global Citation Frequency


Number Of Pages


  • 10

Start Page


  • 1

End Page


  • 11

Volume


  • 6

Place Of Publication


  • United States

Abstract


  • The main function of a vehicle suspension system is to isolate the vehicle body from external excitation in order to improve passenger comfort and road holding and to stabilise its movement. This paper considers the implementation of an adaptive neuro fuzzy inference system (ANFIS) with a fuzzy hybrid control technique to control a quarter vehicle suspension system with a semiactive magneto rheological (MR) damper. A quarter car suspension model is set up with an MR damper and a semiactive controller consisting of a fuzzy hybrid skyhook-groundhook controller and an ANFIS model is also designed. The fuzzy hybrid controller is used to generate the desired control force, and the ANFIS is designed to model the inverse dynamics of MR damper in order to obtain a desired current. Finally, numerical simulations of the semiactive suspensions with the ANFIS- hybrid controller, the traditional hybrid controller, and passive suspension are compared. The results of simulations show that the proposed ANFIS-hybrid controller provides better isolation performance than the other controllers.

Publication Date


  • 2014

Citation


  • Nugroho, P. Wahyu., Li, W., Du, H., Alici, G. & Yang, J. (2014). An adaptive neuro fuzzy hybrid control strategy for a semiactive suspension with magneto rheological damper. Advances in Mechanical Engineering, 6 1-11.

Scopus Eid


  • 2-s2.0-84901282125

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3481&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2472

Has Global Citation Frequency


Number Of Pages


  • 10

Start Page


  • 1

End Page


  • 11

Volume


  • 6

Place Of Publication


  • United States