TYPE-1 AND TYPE-2 FUZZY CONTROL OF AN ANTI-LOCK BREAKING SYSTEM (ABS) AND EVALUATION OF ITS PERFORMANCES

The control of nonlinear systems is a challenging task in control engineering and the use of type-1 Fuzzy Logic Controllers (FLCs) has been proposed as a possible approach. However, traditional type-1 FLCs can prove to be inadequate in dynamically unstructured environments that include large amount of uncertainties. Under such circumstances, type-2 fuzzy logic controllers can be a viable alternative. In this paper, an Anti Lock Breaking System (ABS) is controlled both by a type-1 and an interval type-2 fuzzy logic controller with and without noisy input measurement. The performances of both controllers are approximately the same without noise in the input measurement. However, with noisy input measurements, interval type-2 fuzzy logic controller results in better performance, indicating its superiority when there exist considerable amount of uncertainties in the system to be controlled.