TY - JOUR
T1 - Active online system identification of switch mode DC-DC power converter based on efficient recursive DCD-IIR adaptive filter
AU - Algreer, Maher
AU - Armstrong, Matthew
AU - Giaouris, Damian
PY - 2012/7/3
Y1 - 2012/7/3
N2 - This paper introduces a novel technique for online system identification. Specific attention is given to the parameter estimation of dc-dc switched-mode power converters; however, the proposed method can be applied to many alternative applications where efficient and accurate parameter estimation is required. The proposed technique is computationally efficient, based on a dichotomous coordinate descent algorithm, and uses an infinite impulse response adaptive filter as the plant model. The system identification technique reduces the computational complexity of existing recursive least squares algorithms. Importantly, the proposed method is also able to identify the parameters quickly and accurately, thus offering an efficient hardware solution that is well suited to real-time applications. Simulation analysis and validation based on experimental data obtained from a prototype synchronous dc-dc buck converter is presented. Results clearly demonstrate that the estimated parameters of the dc-dc converter are a very close match to those of the experimental system. The approach can be directly embedded into adaptive and self-tuning digital controllers to improve the control performance of a wide range of industrial and commercial applications.
AB - This paper introduces a novel technique for online system identification. Specific attention is given to the parameter estimation of dc-dc switched-mode power converters; however, the proposed method can be applied to many alternative applications where efficient and accurate parameter estimation is required. The proposed technique is computationally efficient, based on a dichotomous coordinate descent algorithm, and uses an infinite impulse response adaptive filter as the plant model. The system identification technique reduces the computational complexity of existing recursive least squares algorithms. Importantly, the proposed method is also able to identify the parameters quickly and accurately, thus offering an efficient hardware solution that is well suited to real-time applications. Simulation analysis and validation based on experimental data obtained from a prototype synchronous dc-dc buck converter is presented. Results clearly demonstrate that the estimated parameters of the dc-dc converter are a very close match to those of the experimental system. The approach can be directly embedded into adaptive and self-tuning digital controllers to improve the control performance of a wide range of industrial and commercial applications.
UR - http://www.scopus.com/inward/record.url?scp=84862980938&partnerID=8YFLogxK
U2 - 10.1109/TPEL.2012.2190754
DO - 10.1109/TPEL.2012.2190754
M3 - Article
AN - SCOPUS:84862980938
SN - 0885-8993
VL - 27
SP - 4425
EP - 4435
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 11
M1 - 6168842
ER -