A Hybrid ANN and PID Classic controller applied to a cascade LC Resonant Converter

In this paper a cascadeΓ − LC resonant power converter on base of a hybrid controller is introduced. The controller is a combination of Artificial Neural Networks (ANN) and PID classic controllers. The steady state operation of converter was explained according to steady state model of converter. In the proposed controller, the ANN controller changes the switching frequency to maximize the voltage gain and consequently to increase the efficiency of converter. It was shown that this process will be more effective in case of large load variations. Meanwhile the PID classic controller regulates the voltage on base of an On-line PWM process. A prototype was designed and implemented on base of the proposed controller and was tested experimentally. Comparison between simulation and experimental results verified the proposed hybrid controller. This showed reliability of this controller for expanding to other topologies of DC converters.