Abstract
Speed profile design and tracking control are two important issues to ensure the performance of the automatic train operation system. Aiming to realize the maximum optimization probability of train running, this paper constructs an integrated optimal method through speed profile design and fuzzy PID controller design. In the recommended speed profile design, three typical running strategies are included in the proposed comprehensive scheme to extend solution space, and the constructed train performance simulation is combined with NSGA-II algorithm to solve such multiobjective problem. As for recommended speed profile tracking, in order to improve the tracking performance of the train, which is a nonlinear system, a fuzzy PID controller is designed to adaptively adjust PID gains. Note that multiple indicators of punctually, energy consumption, stopping accuracy and comfort are all considered in the integrated design. Taking Beijing Subway Line 8 as the numerical example, the results show that the design of speed profile and fuzzy PID controller are both effective, and energy consumption saves about 10.40% with other better indicators compared with the original data.
Highlights
Many urban rail trains are equipped with automatic train operation (ATO) system to ensure the train automatic running, which provides the possibility of better running performance [1], [2]
Our study focuses on the design of recommended speed profile and tracking controller to provide a comprehensive optimization of ATO system
The main purpose of this paper is developing an integrated method with multifactor consideration to realize a better train running performance through optimal design of speed profile and fuzzy PID controller
Summary
Many urban rail trains are equipped with automatic train operation (ATO) system to ensure the train automatic running, which provides the possibility of better running performance [1], [2]. Train running performance can be improved through recommend speed profile optimization and speed tracking controller design. Q. Pu et al.: Integrated Optimal Design of Speed Profile and Fuzzy PID Controller maximum principle, Liu et al [11] considered the effect of steep downhill segment and realized a better energy-efficient driving of urban railway train. To provide ATO system with a larger solution space, three typical running strategies as well as multiple objectives are introduced in the speed profile optimal design in this study. Our study focuses on the design of recommended speed profile and tracking controller to provide a comprehensive optimization of ATO system. (3) An adaptive FPID controller is constructed to make train running follow the speed profile dynamically and efficiently with better performance.
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