Automatic identification of controller gain in non ideal boost DC to DC converter using soft computing techniques

Abstract

Electrical energy becomes an essential component in many part of the engineering discipline as it facilitates the technology in the power conditioning electronic converters. During the past few decades, vast development in high power capability of electronics devices, sensitive controllers and mathematical analysis of circuit models enhances the utilization of power conditioning electronic converters in major areas for real world applications. The main aim of exploiting power conditioning newlineelectronics converter is to provide qualitatively and quantitatively desired energy level for the precise applications. Power conditioning electronics converter is classified as Inverter, DC to DC converter and Rectifier. Among these, DC to DC converter is the most widely used converter. It consists of two major parts such as power switching circuit and the control circuit which interacts together to produce desired voltage level. Basically, a boost type DC to DC converter is used to step up the low input voltage of the converter to the precise desired voltage level. In this type of converter, the design of feedback controller plays a major role to maintain the desired voltage level with fast dynamic response. The problem of designing a feedback controller to the converter motivates this research to obtain an optimal controller. Finally, the solution for the present research problem is approached by a newlinepopular evolutionary optimization method in order to find the optimal control newlinegain in the controller. newline newline