– The purpose of this paper is to propose a novel design for determining the optimal hybrid fuzzy PID-controller of an active automobile suspension system, employing the gravitational search algorithm (GSA).
– The hybrid fuzzy PID-controller structure is an improvement to fuzzy PID-controller by incorporating a fast learning PID-controller.
– The GSA can adjust the parameters of the PID-controller to achieve the optimal performance.
– The GSA may have the advantage of quick convergence, but the required computation may be intensive.
– The simulation results demonstrate the effectiveness of the proposed approach on active automobile suspension system.
– In order to demonstrate the theoretical guarantee of the proposed method, comparisons with particle swarm optimization or other methods has also been carried out.
