Abstract
In this paper, the achievable tracking performance of a decentralized control scheme of a hydrostatic transmission is investigated for three alternative estimators in combination with output feedback linearization: a state and disturbance observer, an adaptive parameter estimator and a neural network. All these estimators address the given disturbances and uncertainty in the hydraulic system and contribute to the robustness of the feedback linearization as well the tracking accuracy. Firstly, the three control schemes are evaluated by means of simulations and, secondly, validated by experiments on a dedicated test rig at the Chair of Mechatronics, University of Rostock.
Sign-in/Register to access full text options 
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.
