Adaptive fuzzy controller improves comfort

The authors present a control method based on fuzzy logic theory that reduces considerably the number of rules in the input matrix and adapts the rule set locally and temporarily to disturbances in the environment in which it is acting. A one-wheel car suspension model has been used to test the efficiency of the control method. The conflicting demands which must be satisfied to control a suspension system are summarized. The advantages of the control method and its implementation for the chosen example are presented. Its main advantage is the ability to adapt the inference rules without the need of a learning phase. The results are compared with those for a standard suspension model