Adaptive Model Applied to PWM DC-DC Converters Using Averaging Techniques

An adaptive model applied to PWM DC-DC converters is presented in this paper. Parasitic resistors have been considered in the converter. The coefficients of the state-space matrices, which depend on the parameters of the circuit, are calculated on-line. In the proposed method, the state vector variables should be sampled in real time. Then, the coefficients of state-space matrices are estimated by means of a simple matrix calculation. The values of the components of the averaged circuit can also be calculated from the matrix coefficients. Therefore, the changes in the values of the parameters of the circuit are quickly updated in the averaged model. As a result, robust control strategies can be implemented by using these models. In this paper, the method is applied to a buck-boost converter. Some simulation results are included in this work to validate the procedure. The estimated matrices coefficients match very well the expected values