TY - JOUR
T1 - A MIMO periodic ARX identification algorithm for the Floquet stability analysis of wind turbines
AU - Riva, R.
AU - Cacciola, S.
AU - Bottasso, C. L.
PY - 2016/10/3
Y1 - 2016/10/3
N2 - The paper presents a new stability analysis approach applicable to wind turbines. At first, a reduced order periodic model is identified from response time histories, and then stability is assessed using Floquet theory. The innovation of the proposed approach is in the ability of the algorithm to simultaneously consider multiple response time histories, for example in the form of measurements recorded both on the rotor and in the stand still system. As each different measurement carries a different informational content on the system, the simultaneous use of all available signals improves the quality and robustness of the analysis.
AB - The paper presents a new stability analysis approach applicable to wind turbines. At first, a reduced order periodic model is identified from response time histories, and then stability is assessed using Floquet theory. The innovation of the proposed approach is in the ability of the algorithm to simultaneously consider multiple response time histories, for example in the form of measurements recorded both on the rotor and in the stand still system. As each different measurement carries a different informational content on the system, the simultaneous use of all available signals improves the quality and robustness of the analysis.
UR - http://www.scopus.com/inward/record.url?scp=84995436764&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/753/4/042015
DO - 10.1088/1742-6596/753/4/042015
M3 - Conference article
AN - SCOPUS:84995436764
SN - 1742-6588
VL - 753
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 4
M1 - 042015
T2 - Science of Making Torque from Wind, TORQUE 2016
Y2 - 5 October 2016 through 7 October 2016
ER -