In this paper a fuzzy genetic algorithm based anti lock braking system is designed for generating optimum braking torque for vehicles during braking conditions. In this work two fuzzy controllers are used, the first one for road condition estimator and the second is braking torque controller. The fuzzy road condition estimator takes slip ratio and present braking torque as inputs and predicts the road condition. The fuzzy braking torque controller takes present braking torque, current slip, predicted slip and road condition as inputs and generates the braking torque to be applied for next stage. The auto regressive model is used for predicted slip modeling. The braking torque gain of the fuzzy controller and the parameters of the predicted slip model are obtained using genetic algorithm considering optimum stopping distance as the objective function.

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