Intelligent based terrain preview controller for a 3-axle vehicle

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2016-09-16

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AVEC 16

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Conference paper

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Economou J, Purdy D, Galvao Wall D, Diskett D & Simner D (2016) Intelligent based terrain preview controller for a 3-axle vehicle. In: 13th International Symposium on Advanced Vehicle Control, AVEC'16, Munich, 13-16 September 2016.

Abstract

The paper presents a six-wheel half longitudinal model and the design of a dual level control architecture. The first (top) level is designed using a Sugeno fuzzy inference feedforward architecture with and without preview. The second level of controllers are locally managing each wheel for each axle. As the vehicle is moving forward the front wheels and suspension units will have less time to respond when compared to the middle and rear units, hence a preview sensor is used to compensate. The paper shows that the local active suspensions together with the Sugeno Fuzzy, (locally optimised using subtractive clustering), Feedforward control strategy is more effective and this architecture has resulted in reducing the sprung mass vertical acceleration and pitch accelerations.

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Presented at 13th International Symposium on Advanced Vehicle Control, AVEC'16; Munich 13-16/09/2016

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