Title :
Self-adaptation PID Ramp Controller in Freeway Based on Single Neuron
Author :
Yanxiu, Wei ; Xinrong, Liang
Author_Institution :
Wuyi Univ., Jiangmen
Abstract :
An improved self-adaptation PID control method based on single neuron is proposed to regulate the number of vehicles entering a freeway entrance point. The freeway traffic flow dynamic model is first built. Then the ramp control objective is determined. According to nonlinear feedback principle, a self-adaptation PID ramp controller based on single neuron is designed, and an improved algorithm is used to obtain the weight values. Finally, the controller is simulated in MATLAB software. The result shows that the controller designed has strong robustness, fast response, and good dynamic and steady-state performance. This method has a good effect on freeway ramp control.
Keywords :
control system synthesis; dynamic response; feedback; mathematics computing; neurocontrollers; nonlinear control systems; road traffic; robust control; three-term control; traffic control; MATLAB software; freeway traffic flow dynamic model; nonlinear feedback principle; self-adaptation PID ramp controller; single neuron; Algorithm design and analysis; MATLAB; Mathematical model; Neurofeedback; Neurons; Road vehicles; Robust control; Three-term control; Traffic control; Vehicle dynamics; Freeway; Ramp Metering; Self-adaptation PID Controller; Traffic Flow Model;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4346872
