The theory of Hedge Algebra (HA) has been interested and researched by many scientists. The ability to calculate on the semantic value of linguistic terms in HA allows solving fuzzy inference problems and applications in designing fuzzy controllers based on HA (controller based on Hedge Algebra, Hedge Algebra Controller–HAC). In this paper, a new proposal is presented to design a HAC to control an active damping system. The optimization of the controller is to adjust the fuzziness parameters of the hedge algebra structure. The optimization technique used in this study is the Particle Swarm Optimization algorithm (PSO). This is a popular and effective algorithm in optimizing multi-parameter systems. With this design method, an optimal HAC was used to control the active damping system. The optimal standard used is the integration standard according to the absolute value of the error. Performing simulations with different of road disturbance, simulation results show that HAC works well with this object.