Fuzzy control of the semi-active suspension with MR damper based on μGA

A fuzzy control strategy is presented for the semi-active control of a quarter-car suspension system model based on a magnetorheological (MR) damper. The improved Bouc-wen model is used to describe the mechanical model of MR damper. We choose the modified genes of the fuzzy rules, the scale genes of the input variables and the scale gene of the output variables as the variables, and the weight values of the fuzzy control are found by the micro genetic algorithms (muGA). Numerical simulations demonstrate that with micro genetic algorithms the semi-active suspension can improve both the ride comfort and handing stability.