An experimental prototype of buck converter fed series DC motor implementing speed and current controls

This paper implements a speed/current control of a prototype series DC motor using a buck converter model. It first came up with, a performance analysis for current and speed controllers are provided followed by a simulation in MATLAB. Analyzing the discontinuous conduction mode (DCM) of the buck converter along with the non-linear behavior of the mechanical load put us forward to an efficient strategy for the linearization of speed ramp from stall to nominal speed. The strategy uses a neural network training routine to provide a practical modeling on a variety of converter´s non-linear effects. Then, the whole procedure as a pre-design simulation study is practically implemented. The use of an AVR-controlled buck converter paves the way to a straightforward combined speed/current control. Meanwhile, it is shown that the constructed set avoids unnecessary complicated control system while preserving a very fast and desirable response.