Robust loopshaping using iterative feedback tuning
2001 (English)In: 2001 European Control Conference, ECC 2001, IEEE conference proceedings, 2001, 2046-2051 p.Conference paper (Refereed)Text
Iterative Feedback Tuning (IFT) is a direct tuning method using closed loop experimental data. The method is based on numerical optimization and in each iteration an unbiased gradient estimate is used. In this contribution we show how to use IFT to do robust loopshaping. One method, based on the approach suggested by Glover and McFarlane , uses an approximate H∞ cost function and alternates between updating the loop gains and the robustness margins. In a second, H2 based method, a joint criterion of robustness and performance is optimized. The methods are illustrated on numerical examples.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2001. 2046-2051 p.
adaptive control, control and optimization, Multivariable control, Cost functions, Feedback, Numerical methods, Optimization, Robustness (control systems), Time varying networks, Gradient estimates, Iterative feedback tuning, Numerical optimizations, Robustness margins, Tuning method, Iterative methods
IdentifiersURN: urn:nbn:se:kth:diva-181626ScopusID: 2-s2.0-84947461581ISBN: 9783952417362OAI: oai:DiVA.org:kth-181626DiVA: diva2:909018
6th European Control Conference, ECC 2001, 4 September 2001 through 7 September 2001
QC 201603042016-03-042016-02-022016-03-04Bibliographically approved