Title :
Rapid parameter identification for an electromechanical brake
Author :
Chih Feng Lee ; Manzie, Chris
Author_Institution :
Dept. of Mech. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
Abstract :
A rapid parameter identification procedure for a prototype automotive electromechanical brake is proposed, which is intended to support post-production quality control checks and quick model-based controller tunings. Instead of using a few different experimental manoeuvres that isolate the identification of certain sets of model parameters, an experiment optimisation is performed to single out the best trajectory that facilitates the identification of the whole sets of parameters while minimising covariance in the estimates. Utilising the measurements obtained from the optimal experimental design, both output error method and prediction error method are employed to estimate the parameters, and their estimation accuracy and evaluation speed are compared. Experimental results show that the proposed method has reduced the time required for experiments significantly with improved estimation accuracy.
Keywords :
automotive components; brakes; covariance analysis; design of experiments; optimisation; parameter estimation; quality control; automotive electromechanical brakes; covariance; optimal experimental design; optimisation; output error method; parameter estimation; post production quality control checks; prediction error method; quick model-based controller tunings; rapid parameter identification; Clamps; Estimation; Force; Friction; Noise; Noise measurement; Trajectory;
Conference_Titel :
Control Conference (AUCC), 2013 3rd Australian
Conference_Location :
Fremantle, WA
Print_ISBN :
978-1-4799-2497-4
DOI :
10.1109/AUCC.2013.6697305