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Nonlinear State Estimation and Control for Freeway On‐Ramp Metering
Author(s) -
Abouaïssa H.,
Majid H.,
Jolly D.
Publication year - 2017
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1352
Subject(s) - control theory (sociology) , extended kalman filter , nonlinear system , metering mode , estimator , kalman filter , flatness (cosmology) , computer science , differential (mechanical device) , engineering , mathematics , control (management) , physics , mechanical engineering , statistics , cosmology , quantum mechanics , artificial intelligence , aerospace engineering
Abstract The work presented in this paper deals with freeway ramp metering using a differential flatness concept. Such an approach is deployed in the cases when the traffic data provided by loop detectors (or any measurements device), are partially unknown or missed, and/or the downstream measurement station, located at the vicinity of the controlled ramp, is faulty. The proposed solution rests on the estimation of the main variables using the “revised” method of numerical differentiation, i.e. , estimation of the derivative of noisy time signals. Such an algebraic approach, which does not need any integration of differential equations, turns out to be quite robust with respect to perturbations inputs and measurements noises. Convincing numerical simulations are provided using a modified second‐order continuum macroscopic model. Furthermore, a comparative study using the Extended Kalman Filter (EKF), which is the most used in the area of traffic state estimators, is proposed in order to demonstrate the effectiveness of the strategy.