Optimized state controller on DC-DC converter

Due to their switching property included in their structure, DC-DC converters have a non-linear behavior and their controlling design is accompanied with complexities. But by employing the average method it is possible to approximate the system by linear system and exploiting linear control methods. In this paper the central method of Linear Quadratic Regulator (LQR) is employed for controlling Buck converter and improving its dynamic functioning, but determining the LQR controlling matrices is very difficult. So, genetic algorithm is employed to eliminate this obstacle. The simulation of DC-DC converter with LQR based on genetic algorithm is shown the improvement in voltage control response and the converter output current.