System identification of PWM dc-dc converters during abrupt load changes

Maher Algreer, Matthew Armstrong, Damian Giaouris
2009 2009 35th Annual Conference of IEEE Industrial Electronics  
System identification has an important role in control system design, particularly in auto-tuning and adaptive control applications. Recently, it has emerged as a significant research topic in power converter design. For this reason, this paper proposes a new on-line approach to identify the parameters of a dc-dc converter. The proposed method is capable of rapidly detecting and accounting for abrupt load changes during the transient period. In most situations the controller is blind to this
more » ... nge. However, the estimation algorithm is able to update the model parameters before the output reaches the peak overshoot value. As a result, the controller can minimize the effect of any parameter change. The proposed method depends on predication error variation during a rapid change of load and is designed around a simple fuzzy logic structure. An adaptive forgetting factor is used to optimize the identification process, and this varies very quickly and smoothly with the step load change. Simulation results show that the identification model matches the plant during the transient period. Importantly, the convergence rate and parameters error, the two factors use to validate the algorithm, are very good during system startup and after any abrupt load change.
doi:10.1109/iecon.2009.5414842 fatcat:rreeqr3vsngonlg5zacyoxsh7m