DocumentCode :
724109
Title :
Tracking control of wheel slip ratio with velocity estimation for vehicle anti-lock braking system
Author :
Haiping Du ; Weihua Li ; Yongjun Zhang
Author_Institution :
Sch. of Electr., Univ. of Wollongong, Wollongong, NSW, Australia
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
1900
Lastpage :
1905
Abstract :
Optimal wheel slip ratio control is the key issue in an anti-lock braking system (ABS). Due to the unavailability of direct measurement of vehicle speed, which is required for a reliable computation of wheel slip ratio, and the problem of nonlinear tyre-road friction characteristic, accurate vehicle speed estimation and estimation-based slip ratio control are becoming critical for the implementation of ABS. To estimate the vehicle speed, a fuzzy observer is first designed in the paper based on the Takagi-Sugeno (T-S) fuzzy modelling of the nonlinear vehicle braking system. With the designed observer, a speed estimation-based fuzzy tracking controller is then designed with the consideration of braking torque saturation to track the optimal wheel slip ratio. Both the design of the observer and the controller are achieved by solving a set of linear matrix inequalities. Numerical simulations on a quarter-vehicle braking model are used to validate the effectiveness of the proposed approach.
Keywords :
braking; control system synthesis; friction; fuzzy control; linear matrix inequalities; nonlinear control systems; numerical analysis; observers; road vehicles; velocity measurement; wheels; ABS; T-S fuzzy modelling; Takagi-Sugeno fuzzy modelling; braking torque saturation; estimation-based slip ratio control; fuzzy observer design; fuzzy tracking controller design; linear matrix inequalities; nonlinear tyre-road friction characteristic; nonlinear vehicle braking system; numerical simulations; optimal wheel slip ratio control; quarter-vehicle braking model; vehicle anti-lock braking system; vehicle speed estimation; vehicle speed measurement; velocity estimation; Friction; Mathematical model; Observers; Roads; Torque; Vehicles; Wheels; Anti-lock braking; Nonlinear modelling; T-S fuzzy technique; Velocity estimation; Wheel slip ratio control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162229
Filename :
7162229
Link To Document :
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