Particle Swarm Optimization of a Mamdani Fuzzy Logic Based Charge Controller for Energy Storage Systems

This paper proposed a Particle Swarm Optimized Mamdani Fuzzy Logic Based Charge Controller for Energy Storage Systems. This work was deemed necessary because all Mamdani based charge controllers in literature are defined arbitrarily thereby creating an impression that a PSO based approach may yield better results. The Energy Storage System as well as the Mamdani Fuzzy Controller and the Particle Swarm Optimizer are implemented in MATLAB. With the desired state of charge set at 50%, results show that the proposed approach yields a root mean square error that ranges from 0.04312 to 0.077287 while the original approach achieves a root mean square error of 2.7947. The error in PSO based approach is therefore less than 2.76% of the original approach.