It is a standard engineering practice to design feedback-based control to have a system follow a given trajectory. While the trajectory is continuous-time, the sequence of references is varied at discrete times as it is normally computed by digital systems.In this work, we propose a method to determine the optimal discrete-time references to be applied over a time window of a given duration. The optimality criterion is the minimization of a weighted L 2 norm between the achieved trajectory and a given target trajectory which is desired to be followed. The proposed method is then assessed over different simulation results, analyzing the design parameters’ effects, and over a UAV use case. The code to reproduce the results is publicly available.

Optimal Reference Tracking for Sampled-Data Control Systems

Bini, Enrico
First
;
2022-01-01

Abstract

It is a standard engineering practice to design feedback-based control to have a system follow a given trajectory. While the trajectory is continuous-time, the sequence of references is varied at discrete times as it is normally computed by digital systems.In this work, we propose a method to determine the optimal discrete-time references to be applied over a time window of a given duration. The optimality criterion is the minimization of a weighted L 2 norm between the achieved trajectory and a given target trajectory which is desired to be followed. The proposed method is then assessed over different simulation results, analyzing the design parameters’ effects, and over a UAV use case. The code to reproduce the results is publicly available.
2022
IEEE 61st Conference on Decision and Control (CDC)
Cancun, Mexico
2022
Proceedings of the IEEE 61st Conference on Decision and Control (CDC)
IEEE
7141
7148
978-1-6654-6761-2
Bini, Enrico; Papadopoulos, Alessandro V.; Higgins, Jacob; Bezzo, Nicola
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1887418
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