Title :
A UML-based approach to automatic cruise control modeling for smart vehicles
Author :
Jin-Shyan Lee ; Yuan-Ming Wang
Author_Institution :
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
Abstract :
According to a given control law, an automatic cruise controller (ACC) is a driver-assisting device used to control the headway with respect to the vehicle in front. However, various kinds of ACC systems with different complexity exist and a modeling and simulation platform is thus required. In order to assist design engineers in obtaining the suitable control parameters for desired performance, this paper has proposed a systematical approach to the modeling and development of an ACC simulator. In the proposed approach, the standard unified modeling language (UML) is adopted to model the system, while the Java is used to implement it. An example of an ACC system based on Proportional-Integral-Derivative (PID) design has been provided to show the practicability of the proposed method. It is believed that the approach presented in this paper would benefit application engineers in designing the automatic cruise controller.
Keywords :
Java; Unified Modeling Language; automated highways; control system synthesis; digital simulation; driver information systems; road vehicles; three-term control; velocity control; Java; PID design; UML-based approach; Unified Modeling Language; automatic cruise control modeling; automatic cruise control simulator; automatic cruise controller design; control law; driver-assisting device; headway control; proportional-integral-derivative design; simulation platform; smart vehicle; Analytical models; Java; Numerical models; Object oriented modeling; Processor scheduling; Unified modeling language; Vehicles; Java; automatic cruise control; intelligent transportation systems (ITS); simulator design; unified modeling language (UML);
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
DOI :
10.1109/ICIEA.2012.6360720