This paper focuses on the control of longitudinal self-driving racecar models with model uncertainty and pro- poses a robust solution that comprises an online disturbance estimator and a nonlinear compensation control feedback law. By modeling all uncertainty with respect to a nominal model as suitably disturbance signals and afterward exploiting unknown- input state observer theory, a lean and fast estimator is derived for the racecar model. The estimator does not require a priori knowledge of the uncertainty. Closed-loop stability of the proposed controller ensuring the asymptotic reconstruction of the system state and disturbance inputs as well as asymptotic tracking of desired longitudinal speed is proved. Simulations are presented to exemplify the functioning of the proposed solution and show its validity.

Pedone S., Fagiolini A. (2022). Robust Longitudinal Control of Self-Driving Racecar Models. In IEEE EUROPEAN CONTROL CONFERENCE (pp. 796-801) [10.23919/ECC55457.2022.9837984].

Robust Longitudinal Control of Self-Driving Racecar Models

Pedone S.
Primo
;
Fagiolini A.
Secondo
2022-01-01

Abstract

This paper focuses on the control of longitudinal self-driving racecar models with model uncertainty and pro- poses a robust solution that comprises an online disturbance estimator and a nonlinear compensation control feedback law. By modeling all uncertainty with respect to a nominal model as suitably disturbance signals and afterward exploiting unknown- input state observer theory, a lean and fast estimator is derived for the racecar model. The estimator does not require a priori knowledge of the uncertainty. Closed-loop stability of the proposed controller ensuring the asymptotic reconstruction of the system state and disturbance inputs as well as asymptotic tracking of desired longitudinal speed is proved. Simulations are presented to exemplify the functioning of the proposed solution and show its validity.
978-3-9071-4407-7
Pedone S., Fagiolini A. (2022). Robust Longitudinal Control of Self-Driving Racecar Models. In IEEE EUROPEAN CONTROL CONFERENCE (pp. 796-801) [10.23919/ECC55457.2022.9837984].
File in questo prodotto:
File Dimensione Formato  
Robust_Longitudinal_Control_of_Self-Driving_Racecar_Models.pdf

Solo gestori archvio

Tipologia: Versione Editoriale
Dimensione 1.43 MB
Formato Adobe PDF
1.43 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/578974
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact