An Optimal Controller for an Active Damping System based on Hedge Algebra and PSO Algorithm

The theory of Hedge Algebra (HA) has attracted the attention of numerous scientists, who have conducted extensive research into it. The capacity to calculate the semantic value of linguistic terms in HA enables the resolution of fuzzy inference issues and the development of fuzzy controllers based on HA (Hedge Algebra Controller – HAC). This paper presents a newly proposed methodology for the design of HAC to control an active damping system. The objective of the controller optimization is to adjust the fuzziness parameters of the hedge algebra structure. The optimization technique adopted in this study is the Particle Swarm Optimization algorithm (PSO), which is a popular and effective algorithm for optimizing multi-parameter systems. The optimal HAC was used to control the active damping system. Simulation results demonstrate that the HAC functions effectively in the presence of varying road disturbances.