Advanced search
1 file | 353.69 KB

Adaptive PI controller for slip controlled belt continuously variable transmission

(2018) IFAC PAPERSONLINE . 51(4). p.101-106
Author
Organization
Abstract
The control of slip in a belt Continuously Variable Transmission (CVT) has been the subject of many research papers. Optimal control of the belt CVT is of major importance for the eciency as demonstrated in literature. The challenge in optimizing that eciency is in the reduction of the necessary clamping forces while the stability of the variable transmission is maintained. Although these problems have already been tackled to a certain extent, mostly fairly complex controllers are proposed. The goal of this paper is to propose a straightforward though e ective method to control slip. The main idea of the paper is to use linearized equations of the slip dynamics to update the controller parameters in function of the operating point. This approach allows to reduce the highly nonlinear system to a rst order transfer function which is easily controlled with a PI controller. Results based on extensive simulations show that the controller is robust against torque disturbances and speed ratio variations.
Keywords
Adaptive control, PI controllers, mechanical systems, dynamic models

Downloads

  • Adaptive PI controller for slip controlled belt Continuously Variable Transmission.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 353.69 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Verbelen, Florian, Michiel Haemers, Jasper De Viaene, Stijn Derammelaere, Kurt Stockman, and Peter Sergeant. 2018. “Adaptive PI Controller for Slip Controlled Belt Continuously Variable Transmission.” In Ifac Papersonline , 51:101–106. Ghent.
APA
Verbelen, F., Haemers, M., De Viaene, J., Derammelaere, S., Stockman, K., & Sergeant, P. (2018). Adaptive PI controller for slip controlled belt continuously variable transmission. IFAC PAPERSONLINE (Vol. 51, pp. 101–106). Presented at the 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control (PID), Ghent.
Vancouver
1.
Verbelen F, Haemers M, De Viaene J, Derammelaere S, Stockman K, Sergeant P. Adaptive PI controller for slip controlled belt continuously variable transmission. IFAC PAPERSONLINE . Ghent; 2018. p. 101–6.
MLA
Verbelen, Florian et al. “Adaptive PI Controller for Slip Controlled Belt Continuously Variable Transmission.” Ifac Papersonline . Vol. 51. Ghent, 2018. 101–106. Print.
@inproceedings{8567055,
  abstract     = {The control of slip in a belt Continuously Variable Transmission (CVT) has been
the subject of many research papers. Optimal control of the belt CVT is of major importance
for the e\unmatched{000e}ciency as demonstrated in literature. The challenge in optimizing that e\unmatched{000e}ciency is in
the reduction of the necessary clamping forces while the stability of the variable transmission
is maintained. Although these problems have already been tackled to a certain extent, mostly
fairly complex controllers are proposed. The goal of this paper is to propose a straightforward
though e\unmatched{000b}ective method to control slip. The main idea of the paper is to use linearized equations
of the slip dynamics to update the controller parameters in function of the operating point. This
approach allows to reduce the highly nonlinear system to a \unmatched{000c}rst order transfer function which
is easily controlled with a PI controller. Results based on extensive simulations show that the
controller is robust against torque disturbances and speed ratio variations.},
  author       = {Verbelen, Florian and Haemers, Michiel and De Viaene, Jasper and Derammelaere, Stijn and Stockman, Kurt and Sergeant, Peter},
  booktitle    = {IFAC PAPERSONLINE },
  issn         = {2405-8963},
  language     = {eng},
  location     = {Ghent},
  number       = {4},
  pages        = {101--106},
  title        = {Adaptive PI controller for slip controlled belt continuously variable transmission},
  url          = {http://dx.doi.org/10.1016/j.ifacol.2018.06.045},
  volume       = {51},
  year         = {2018},
}

Altmetric
View in Altmetric
Web of Science
Times cited: