System Identification and Control of High Voltage Boost Converter

Boost converters have been commonly used for many years. However, a limited number of academic studies have examined high-voltage boost converters, modeling and controller design of which go through a complicated process. To attain the transfer function of boost converters, various methods such as system identification are utilized in addition to mathematical models. Being one of such models, black-box system identification is a mathematical method that measures the input/output values of a system, proposes a model to represent the system, and also enables to propose models such as a transfer function and state space equation, which would represent the dynamic behavior of a boost converter. The input/output data collected from the basic experimental setup (constructed on Simulink) can be employed to find out the coefficients of the transfer function attained from the system identification procedure. The performance of the transfer function models proposed to determine these coefficients could be examined to figure out how well they represent the system. This article proposed the model of black-box system identification to attain the transfer function of the boost converter. It became easy to obtain the controller design for the proposed transfer function after acquiring the system model. Various objective functions were also used to identify the optimal controller parameters, and the controller coefficients were calculated. Last, the feedback control system and the circuit equation models were compared for the model. The comparison indicated that they had similar responses. At this point, the proposed method allowed us to model the system in a very practical way with an accurate experimental setup and facilitated the process of controller design.