NETE Electrohydraulic Active Suspension Fuzzy-Neural Based Control System

Authors

  • Gaston Lefranc

Keywords:

Active suspension systems, Artificial neural networks, Electrohydraulic dynamics, Nonlinear dynamic system, Fuzzy control, PID controller

Abstract

design of a new controller via a combination of
fuzzy controller and artificial neural network (ANN) force
tracking solution for a full vehicle suspension system with
nonlinear electrohydraulic actuator dynamics is proposed. The
comparison between the new Fuzzy-ANN force tracking
controller designed with passive suspension system and PID-ANN
controller previously developed is presented. Simulations and
results obtained show that the Fuzzy-ANN combined controller
can improve the stability problems caused by disturbances and
road conditions, providing a superior passenger comfort.

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Published

2018-10-26

How to Cite

Lefranc, G. (2018). NETE Electrohydraulic Active Suspension Fuzzy-Neural Based Control System. IEEE Latin America Transactions, 16(9), 6. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/25

Issue

Vol. 16 No. 9 (2018): Special Issue on New Trends in Electronics

Section

Articles

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