Decentralized neuro-fuzzy control for half car with semi-active suspension system |
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Authors: | M A Eltantawie |
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Institution: | 1.Mechanical Engineering Department,Higher Technological Institute,Giza,Egypt |
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Abstract: | In this paper, a decentralized neuro-fuzzy controller has been created in order to improve the ride comfort and increase the
stability for half car suspension system, which used the magneto-rheological damper as a semi-active device. Firstly, relative
gain array and relative disturbance gain methods have been used for deriving a relation between inputs, disturbances and outputs
to select pairing with minimum interaction to design a decentralize controller. Secondary, decentralized neuro-fuzzy controllers
for front and rear chassis are designed to predict the required damping force taking the acceleration of the sprung mass and
desired acceleration obtained by using pole-placement method as inputs. To predict the control voltage required for producing
the force predicted by the controller, the inverse neuro-fuzzy model of MR damper has been designed. Simulation by using MATLAB
programs has been created. The results show that the ride comforts and vehicle stability have been improved in comparison
with the passive system. |
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Keywords: | |
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