Iterative learning control for freeway traffic distributed parameter systems

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Abstract:Based on the freeway traffic distributed parameter system model, this paper presents the boundary control approach of the on-ramp distributed parameter system with consideration of the repeatability feature of traffic system. The approach with feedback PD-type control law improves the precision of the control system by learning useful knowledge in previous conductions. Moreover, it can effectively suppress the influence of the system measurement noises and disturbances. It also integrates the system space and time control information and adopts the freeway traffic distributed parameter system model description, so as to improve the control performance of the whole freeway section. The simulation results further confirm the effectiveness and applicability of the proposed approaches by Matlab.

Volume:13

Issue:2

Translation or Not:no