Efficient tuning of linear multivariable controllers using iterative feedback tuning
1999 (English)In: International Journal of Adaptive Control and Signal Processing, ISSN 08906327 (ISSN), Vol. 13, no 7, 553-572 p.Article in journal (Refereed) Published
Iterative feedback tuning 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. Due to these unbiased gradient estimates, the method converges to a stationary point of the control criterion provided the closed loop signals remain bounded throughout the iterations. In this contribution, it is shown how such unbiased estimates can be obtained for multivariable linear time-invariant systems. Particular attention is given to the issue of keeping the experiment time to a minimum and several efficient algorithms are presented. It is shown that, for tuning an arbitrary linear time-invariant multivariable controller with nw inputs and nu outputs, 1+nuÃ—nw experiments are sufficient in each iteration of the algorithm. For disturbance rejection, an alternative algorithm is proposed which requires nu+nw experiments. As an illustration, the method is applied to a simulation model of a gas turbine engine.
Place, publisher, year, edition, pages
1999. Vol. 13, no 7, 553-572 p.
Algorithms, Closed loop control systems, Convergence of numerical methods, Feedback control, Iterative methods, Linear control systems, Tuning, Iterative feedback tuning, Linear multivariable controllers, Multivariable control systems
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-60577DOI: 10.1002/(SICI)1099-1115(199911)13:7<553::AID-ACS572>3.0.CO;2-BOAI: oai:DiVA.org:kth-60577DiVA: diva2:479504
NR 201408052012-01-172012-01-132012-01-17Bibliographically approved