AnIntervalType-2FuzzyLogicController forQuarter VehicleActive Suspensions
نویسندگان
چکیده
A novel adaptive fuzzy logic controller (AFC) based on interval type-2 fuzzy is proposed for vehicle non-linear active suspension systems. The adaptive strategy elicited from Least Means Squares optimal algorithm (LMS) is adopted to self-tune lower bounds and upper bounds of interval type-2 fuzzy membership functions (IMFs). The IMFs are utilized in the AFC design to deal with not only non-linearity and uncertainty caused from irregular road inputs and immeasurable disturbance, but also the potential uncertainty of experts knowledge and experience. A case study based on a quarter active suspension model has demonstrated that the proposed type-2 controller significantly outperforms conventional fuzzy controllers of an active suspension and a passive suspension.
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