Title :
Modeling scheme for vehicle longitudinal control
Author_Institution :
MathWorks, Inc., Natick, MA, USA
Abstract :
A modeling scheme for vehicle longitudinal control based on system input/output data is developed. A family of linear fractional transformation (LFT) models is used to describe vehicle dynamics. Each of the LFT models is valid over a given dynamic range around its operating point. With these LFT models available, robust controllers can be designed using available tools. Strategies and algorithms for building LFT models of vehicle longitudinal control are introduced. Attention is given to excitation signals for the system input, H∞ identification methods, and coverage of the system uncertainties. Experiments with a test vehicle have been conducted using these techniques, and a family of LFT models for vehicle longitudinal control has been constructed based on the experimental data. The modeling method is illustrated by using simulation data
Keywords :
adaptive control; identification; optimal control; road vehicles; H∞ identification methods; excitation signals; linear fractional transformation; robust controllers; system input/output data; system uncertainties; vehicle dynamics; vehicle longitudinal control; Buildings; Control system synthesis; Dynamic range; Engines; Intelligent vehicles; Mechanical factors; Road vehicles; Robust control; Signal processing; Sparks; System testing; Testing; Uncertainty; Vehicle dynamics;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371674
