Model validation and Robust State Feedback control for nonlinear subway traffic networks

Fatemeh Khosrosereshki; Bijan Moaveni

doi:10.1016/j.isatra.2024.03.009

Model validation and Robust State Feedback control for nonlinear subway traffic networks

ISA Trans. 2024 May:148:12-23. doi: 10.1016/j.isatra.2024.03.009. Epub 2024 Mar 12.

Authors

Fatemeh Khosrosereshki¹, Bijan Moaveni²

Affiliations

¹ Department of Control and Signaling, Faculty of Railway Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran. Electronic address: f_khosrosereshki@alumni.iust.ac.ir.
² Faculty member of Electrical Engineering, K.N. Toosi University of Technology, Tehran 16317-14191, Iran. Electronic address: b.moaveni@kntu.ac.ir.

PMID: 38519382
DOI: 10.1016/j.isatra.2024.03.009

Abstract

This paper develops a nonlinear Discrete-Event (DE) model for Intersecting Lines (ILs) of a Subway Network (SN). A class of Monte Carlo (MC) methods based on repeated random values is employed to validate the model. Model validation is performed by generating random values for delay rates and external disturbances. After model validation, a Robust State Feedback (RSF) controller is designed to compensate the delays caused by disturbances. Simulations are performed based on the characteristics and actual data of lines 2 and 4 of the Tehran subway to demonstrate the effectiveness of the proposed approach. Simulation results show the accuracy and proper performance of the proposed model. In addition, the closed-loop responses demonstrate the effectiveness of the proposed RSF controller for centralized and decentralized control configurations.

Keywords: Centralized and decentralized control configurations; Model validation; Monte Carlo (MC) method; Robust State Feedback (RSF) control; Subway Traffic Network (STN).