DocumentCode
2663186
Title
Freeway on-ramp control based on the composition of PID controller and CMAC
Author
Xinrong, Liang ; Yekun, Fan
Author_Institution
Sch. of Inf., Wuyi Univ., Jiangmen
fYear
2008
fDate
16-18 July 2008
Firstpage
354
Lastpage
357
Abstract
The composition control method based on cerebellar model articulation controller (CMAC) and PID controller is proposed to regulate the number of vehicles entering a freeway entrance point. First, the freeway traffic flow dynamic model is built. Then the algorithm of the composition controller of CMAC and PID is formulated. In conjunction with nonlinear feedback theory, the on-ramp metering rate of a freeway is determined by using the composition controller. Finally, the control system is simulated in MATLAB software and fuzzy logic controller is also chosen in contrast to the composition controller. The result shows that the composition controller improves evidently on the aspects of response speed and dynamic performance. It can achieve a desired traffic density along the mainline of a freeway, and can make vehicles travel more efficiently and safely. This method provides a novel and practical way to realize freeway on-ramp metering.
Keywords
cerebellar model arithmetic computers; feedback; fuzzy control; neurocontrollers; nonlinear control systems; road traffic; three-term control; traffic control; CMAC; Matlab software; PID controller; cerebellar model articulation controller; composition control method; freeway onramp control; freeway traffic flow dynamic model; fuzzy logic controller; nonlinear feedback theory; Control system synthesis; Feedback; Fuzzy logic; MATLAB; Mathematical model; Nonlinear dynamical systems; Road vehicles; Three-term control; Traffic control; Vehicle dynamics; CMAC; Freeway; Ramp control; Traffic flow model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605341
Filename
4605341
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