Disturbance Rejection using an ILC Algorithm with Iteration Varying Filters
2004 (English)Report (Other academic)
An Iterative Learning Control disturbance rejection approach is considered and it is shown that iteration variant learning filters can asymptotically give the controlled variable zero error and zero variance. Convergence is achieved with the assumption that the relative model error is less than one. The transient response of the suggested ILC algorithm is also discussed using a simulation example.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2004. , 15 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2588
Iterative learning control, Disturbance rejection, Discrete time systems, Convergence
National CategoryControl Engineering
IdentifiersURN: urn:nbn:se:liu:diva-55973ISRN: LiTH-ISY-R-2588OAI: oai:DiVA.org:liu-55973DiVA: diva2:316765