Vehicle velocity estimation for real-time dynamic stability control

Autor:	Q. Huang, L. Kong, Jing Song, Louman Li
Rok vydání:	2009
Předmět:	Engineering Observer (quantum physics) business.industry Computation Poison control Compensation (engineering) Computer Science::Robotics Nonlinear system Microcontroller Electronic stability control Cascade Automotive Engineering business Simulation
Zdroj:	International Journal of Automotive Technology. 10:675-685
ISSN:	1976-3832 1229-9138
DOI:	10.1007/s12239-009-0080-7
Popis:	A new approach is proposed for nonlinear asymptotic observers based on the cascade observer system with a fusion of sensor signals. In the observers, the characteristic of the vehicle dynamic system, the nonlinear tire force estimation, load transfer estimation, and road ramp angle compensation are considered. The errors in the observation of vehicle velocity were diminished, and the computation cost was decreased for a real-time microcontroller. Simulation and real vehicle test results validate the higher accuracy of the velocity estimation by the proposed observers under complicated handling maneuver conditions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c3ea723799c77093cad88fc482175c5c https://doi.org/10.1007/s12239-009-0080-7 Zobrazit plný text záznamu Full text from SpringerLink