Performance Analysis of DNN and Adaptive Neuro Fuzzy Controller in Comparison to Conventional Controller for Closed Loop Single Switch Semi Quadratic Buck Converter
摘要
This paper focuses on closed loop control techniques of single switch semi quadratic buck converter which is used for more bucking than conventional buck converter. In conventional control, linearization is done but linearizing a complex or highly dynamic plants become impractical. Controlling a single switch semi quadratic buck converter is a nonlinear control problem as the state space equations change when the semiconductor switch is switched on or off the power semiconductor switch. Due to its high efficiency and reliability these converters are used in industries for motor control, renewable energy systems like wind turbines, automotive electronics like navigation systems etc. Most of the research work done is based on buck converter using conventional controllers. Due to more bucking effect the stress on the conventional controller is more. Efforts have been made in this paper to control such dynamical system with some artificial intelligent techniques instead of conventional control. The modelling and analysis of the converter is done in this paper and results are being compared with the conventional closed loop control.