Naslov
Tire/Road Friction Force Estimation in Automotive Control Systems

Autori
Perić, Nedjeljko ; Matuško, Jadranko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Preceedings of the 3rd International Conference BUSINESS SYSTEMS MANAGEMENT-UPS 2004 / Majstorović, V. ; Katalinić, B. ; Čović, D ; Višekruna, V. - Mostar, 2004, 171-176

Skup
International Conference "BUSINESS SYSTEMS MANAGEMENT"

Mjesto i datum
Mostar, Bosna i Hercegovina, 23.09.2004. - 24.09.2004

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Automotive Applications; Estimation Techniques; Kalman Filter; Neural Network; Lyapunov Stability

Sažetak
Good information about friction force generated in contact between wheel and road significant importance in many active safety systems in modern vehicles (anti-lock brake systems, traction control, vehicle dynamic systems, etc.). For this purpose two different approaches has been presented. First approach is based on modification of extended Kalman filter by augmenting it by integral action (PI Kalman filter), in order to estimate additional model parameter. Second estimation scheme is based on RBF neural network. The neural network is added to the estimator to compensate the effects of the friction model uncertainties to the estimation quality. An adaptation law for the neural network parameters is derived using Lyapunov stability analysis. Quality of the estimation for both of estimators is examined through simulations using one wheel friction model.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA