Adaptive control allocation for constrained systems
buir.contributor.author | Tohidi, Seyed Shahabaldin | |
buir.contributor.author | Yıldız, Yıldıray | |
dc.citation.epage | 109161-11 | en_US |
dc.citation.spage | 109161-1 | en_US |
dc.citation.volumeNumber | 121 | en_US |
dc.contributor.author | Tohidi, Seyed Shahabaldin | |
dc.contributor.author | Yıldız, Yıldıray | |
dc.contributor.author | Kolmanovsky, I. | |
dc.date.accessioned | 2021-02-20T18:31:30Z | |
dc.date.available | 2021-02-20T18:31:30Z | |
dc.date.issued | 2020-06 | |
dc.department | Department of Mechanical Engineering | en_US |
dc.description.abstract | This paper proposes an adaptive control allocation approach for uncertain over-actuated systems with actuator saturation. The proposed control allocation method does not require uncertainty estimation or persistency of excitation. Actuator constraints are respected by employing the projection algorithm. The stability analysis is provided for two different cases: when ideal adaptive parameters are inside and when they are outside of the projection boundary which is chosen consistently with the actuator saturation limits. Simulation results for the Aerodata Model in Research Environment (ADMIRE), which is used as an example of an over-actuated aircraft system with actuator saturation, demonstrate the effectiveness of the proposed method. | en_US |
dc.embargo.release | 2022-06-24 | |
dc.identifier.doi | 10.1016/j.automatica.2020.109161 | en_US |
dc.identifier.issn | 0005-1098 | |
dc.identifier.uri | http://hdl.handle.net/11693/75518 | |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | https://doi.org/10.1016/j.automatica.2020.109161 | en_US |
dc.source.title | Automatica | en_US |
dc.subject | Control allocation | en_US |
dc.subject | Uncertain systems | en_US |
dc.subject | Actuator saturation | en_US |
dc.title | Adaptive control allocation for constrained systems | en_US |
dc.type | Article | en_US |
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