DC DC converters are used as switch mode converters that increasing rapidly in switch mode power supplies. To improve the performance of these power supplies various control techniques have been investigated. The buck converter is also used in switched mode power supplies. The Buck converter is a highly under damped system due to its variable structure system. Due to switching operation, this converter generates oscillations. To minimize the oscillations in a buck converter, various control techniques have been investigated and analyzed.

This paper presents the comparative analysis of buck DC DC topology using proportional plus integral (PI), sliding mode (SM) and artificial neural network (ANN) controllers. These control schemes are implemented and simulated in MATLAB. The performance of the buck converter is tested during transient, line and load variations. The SM controller in line and load variation well damped the oscillations compared to PI and ANN controllers, while the SM controller has longer settling time. The ANN controller has less settling time during transient, line and load variation when compared to the PI and SM controllers.