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Constrained Robust Model Reference Adaptive Control of a Tilt-Rotor Quadcopter Pulling an Unmodeled Cart

IEEE Transactions on Aerospace and Electronic Systems, 2020
This article presents an innovative control architecture for tilt-rotor quadcopters with H-configuration transporting unknown, sling payloads. This control architecture leverages on a thorough analysis of the aircraft's equation of motion, which reveals ...
R. B. Anderson   +2 more
semanticscholar   +1 more source

Model reference adaptive control with a constrained linear reference model

49th IEEE Conference on Decision and Control (CDC), 2010
For systems with limited control authority and a control design that does not prevent saturation from occurring, using a linear reference model can introduce problems, especially when the external command is not necessarily conditioned to respect the capabilities of the plant.
Suresh K. Kannan, Eric N. Johnson
openaire   +1 more source

Robust model reference adaptive control for transient performance enhancement

International Journal of Robust and Nonlinear Control, 2020
To circumvent the potentially poor transient response induced by nonlinear uncertain dynamics in the adaptive control system, this article proposes a new model reference adaptive control design scheme to improve its transient control response.
Jun Yang, J. Na, Guanbin Gao
semanticscholar   +1 more source

A Partial-State Feedback Model Reference Adaptive Control Scheme

IEEE Transactions on Automatic Control, 2020
This paper develops a new partial-state feedback model reference adaptive control (MRAC) scheme, which has full capability to deal with plant uncertainties for output tracking and desired flexibility to combine the advantages of full-state feedback MRAC ...
Ge Song, G. Tao
semanticscholar   +1 more source

Improving transient performance of discrete‐time model reference adaptive control architectures

International Journal of Adaptive Control and Signal Processing, 2020
Discrete‐time adaptive control algorithms can be executed directly in embedded code unlike their continuous‐time counterparts, which require discretization.
K. Dogan   +3 more
semanticscholar   +1 more source

A Model Reference Adaptive Control Based Speed Controller for a Surface-Mounted Permanent Magnet Synchronous Motor Drive

IEEE transactions on industrial electronics (1982. Print), 2018
This paper designs a simple model reference adaptive control based speed controller (MRAC-SC) for a surface-mounted permanent magnet synchronous motor drive.
A. Nguyen   +3 more
semanticscholar   +1 more source

Oxygen excess ratio control for proton exchange membrane fuel cell using model reference adaptive control

International journal of hydrogen energy, 2019
Optimized robust oxygen excess ratio (OER) control for proton exchange membrane fuel cells (PEMFCs) is now a critical issue for improving their economic efficiency and performance.
Jaeyoung Han, Sangseok Yu, S. Yi
semanticscholar   +1 more source

MODEL REFERENCE ADAPTIVE CONTROL AND ADAPTIVE STABILITY AUGMENTATION

IFAC Proceedings Volumes, 1992
Abstract A comparison of the standard concepts in MRAC design suggests that a combination of the implicit and the explicit design techniques may lead to an improvement of the overall system performance in the presence of unmodelled dynamics. Using the ideas of adaptive stability augmentation a combined stability augmented model reference design is ...
A. Henningsen, O. Ravn
openaire   +1 more source

Model reference adaptive consensus control

52nd IEEE Conference on Decision and Control, 2013
A design method of model reference adaptive consensus control of multi-agent systems composed of unknown linear processes is presented in this paper. The proposed control scheme is constructed via a backstepping procedure and state variable filters together with a restricted information network structure among agents.
openaire   +1 more source

Direct fuzzy model-reference adaptive control

International Journal of Intelligent Systems, 2002
The classical model-reference adaptive control approach works satisfactorily under certain assumptions on the unknown process only. When these assumptions are not satisfied, the resulting control system is unstable, and an alternative to obviate this pitfall is to use fuzzy adaptive control.
Igor Skrjanc, Saso Blazic, Drago Matko
openaire   +1 more source

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