Fuzzy-PID Control via Genetic Algorithm-Based Settings for the Intelligent DC-to-DC Step-Down Buck Regulation

摘要

This article presents further testing and verificationresults for a previously introduced new intelligent regulationmethod that controls the power-electronic Buck converterutilizing a small-signal model of the pulse width modulation(PWM) switch. The implemented intelligent control method usesa fuzzy-PID controller that is tuned using the global searchmethod of genetic algorithm (GA). The presented results furtherverifies that the previously used intelligent hierarchicalregulation method using the GA-tuned fuzzy-PID controllerproduces the desired Buck performance for wide spectrum ofparameter values despite the occurrence of high amplitude noise.