Adaptive composite control of electronic throttle using local learning method

Author

Grepl, Robert

Author_Institution

Mechatron. Lab., Brno Univ. of Technol., Brno, Czech Republic

fYear

2010

fDate

4-7 July 2010

Firstpage

58

Lastpage

61

Abstract

This paper deals with an application of receptive field weighted regression (RFWR) method for the composite control of automotive electromechanical throttle. Simulation experiments use the plant model optimized for hardware-in-the-loop simulation and tuned according to experimental results. Composite controller consists of PID and feedforward inverse dynamics implemented using RFWR. Because of significant dry friction in the system, two independent RFWR approximators are used to solve the problem of discontinuity at zero velocity. Satisfactory simulation results are presented.

Keywords

adaptive control; automotive components; brakes; gears; regression analysis; three-term control; PID control; adaptive composite control; automotive electromechanical throttle; electronic throttle; feedforward inverse dynamics; hardware-in-the-loop; local learning; plant model; receptive field weighted regression; Adaptation model; Approximation methods; Computational modeling; Friction; Heuristic algorithms; Mathematical model; Springs;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics (ISIE), 2010 IEEE International Symposium on

Conference_Location

Bari

Print_ISBN

978-1-4244-6390-9

Type

conf

DOI

10.1109/ISIE.2010.5637899

Filename

5637899