Authors : M.V. Mini and L. Padma Suresh
Abstract: This study compares the performance of neural network controller, fuzzy logic controller and PI controller applied to a buck boost converter. The design of neural network controller is based on online learning method using Back Propagation algorithm. Design of fuzzy logic controller is based on heuristic knowledge of the converters behavior. The design of PI control is based on the frequency response of the converter. The controllers are developed to stabilize the output voltage of the converter and improve the performance of the buck-boost converter during transient operations. Simulation results obtained during load and line variations shows that the online neural network control was able to achieve faster transient response and had a stable steady state response.
M.V. Mini and L. Padma Suresh, 2014. Comparative Evaluation of Intelligent Controller for a Buck-Boost Converter. International Journal of Soft Computing, 9: 143-150.