The tracking problem is considered for a recurring class of systems, such as the Cartesian robots with real actuators, some transportation systems, and scanning devices used for medical and engineering applications. Some theorems are proved to design a PD type controller, with a possible compensation signal, in order to track sufficiently smooth trajectories with a prescribed maximum error. The developed design methodology is illustrated through two engineering examples. The first example concerns the safety distance control of an electric vehicles fleet. The second example deals with the identification of an antenna scanning system and the prototype design of a new controller that provides better performance than the current one.

Trajectory tracking of a class of uncertain systems applied to vehicle platooning and antenna scanning systems / Celentano, Laura; Iervolino, Raffaele. - In: INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE. - ISSN 0020-7721. - 49:15(2018), pp. 3231-3246. [10.1080/00207721.2018.1535676]

Trajectory tracking of a class of uncertain systems applied to vehicle platooning and antenna scanning systems

Laura Celentano
;
Raffaele Iervolino
2018

Abstract

The tracking problem is considered for a recurring class of systems, such as the Cartesian robots with real actuators, some transportation systems, and scanning devices used for medical and engineering applications. Some theorems are proved to design a PD type controller, with a possible compensation signal, in order to track sufficiently smooth trajectories with a prescribed maximum error. The developed design methodology is illustrated through two engineering examples. The first example concerns the safety distance control of an electric vehicles fleet. The second example deals with the identification of an antenna scanning system and the prototype design of a new controller that provides better performance than the current one.
2018
Trajectory tracking of a class of uncertain systems applied to vehicle platooning and antenna scanning systems / Celentano, Laura; Iervolino, Raffaele. - In: INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE. - ISSN 0020-7721. - 49:15(2018), pp. 3231-3246. [10.1080/00207721.2018.1535676]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/760624
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