Dynamic Vehicle and Rigid Road Interaction Analysis and Vibration Control of the Quarter Car Model Using Adaptive Neuro Fuzzy Algorithm

In this study 3-DOF quarter car model with the three bumps on rigid road, assumption has been modeled non-random irregularity. To reduce excessive vibrations occurred vehicle body, an active suspension system linear actuator considered. Moreover, to control actuator, adaptive neuro-fuzzy algorithm is designed. The training and testing data of ANFIS obtained from Proportional Integral Derivative (PID) algorithm. After that successful process, a procedure applied for measure are not considered in process. Then, performance compared by PID passive terms body vertical acceleration, displacement, force. road used according profile mathematical formulation considering periodical discrete cases. formulation, one can easily determine height, width, number defect series formulation. Consequently, results presented study, it proven very effective controlling suppress vibration due interaction. Furthermore, tested different parameters, example, membership functions (MF), which fuzzification input parameters.