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

نویسندگان

  • Anas N. Al-Rabadi
  • Mahmoud A. Barghash
چکیده

− This article presents further testing and verification results for a previously introduced new intelligent regulation method that controls the power-electronic Buck converter utilizing a small-signal model of the pulse width modulation (PWM) switch. The implemented intelligent control method uses a fuzzy-PID controller that is tuned using the global search method of genetic algorithm (GA). The presented results further verifies that the previously used intelligent hierarchical regulation method using the GA-tuned fuzzy-PID controller produces the desired Buck performance for wide spectrum of parameter values despite the occurrence of high amplitude noise. Index Terms − Buck DC-to-DC converter, fuzzy control, genetic algorithms, intelligent regulation, switching-mode stepdown converter.

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تاریخ انتشار 2012