Abstract
Direct model reference adaptive control (DMRAC) is an attractive algorithm that uses a linear combination of feedforward model states and command inputs, as well as the error between plant and model outputs; it does not require full state access nor observers. Real world applications are usually subject to limits on the controlled variables for either safety or practical reasons. Because of the unique structure of the controller, many of the methods developed to deal with saturation constraints can not be applied directly to DMRAC. This papers presents extensions to the algorithm to allow for the explicit handling of such constraints.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
