A comparative study on the control of the active suspension system of an electric vehicle with in-wheel motor by using PID and fuzzy logic methods

In this study, the control of an active suspension system aimed at reducing vehicle vibration has been studied in order to increase the driving comfort of an electric vehicle with an in-wheel motor. First of all, the active suspension system using suspension springs with nonlinear characteristics and the motion equations of the 14-degree full vehicle model created by the driver model were extracted and these were solved in Matlab / Simulink environment. Then, with the help of PID and Fuzzy Logic methods, the control of active suspension systems in the full vehicle model was carried out and the results obtained were compared with the simulation results obtained without a controller. In the study, the calculation method of Fuzzy Logic method for controller design, its error rate and error rate graphs, PID controller design, calculations and results are also given. As a result of the studies, it was observed that the data obtained with both controllers significantly reduced the amplitude of the vibration compared to the graphs obtained without the controller, and further more the control performed with Fuzzy Logic controller give better result in general case and it reachs referance value earlier compared to the PID controller.