The classical PID controllers of the automatic train operation system start or stop a train by reacting to markers that show how far the vehicle is from a station. Because the controllers are rigidly programmed, the ride may be jerky; the automated controller will apply the same brake pressure when a train is, say 100 m from a station, even if the train is going uphill or downhill. Moreover, depending on the difference between the actual and set point speeds, the drive motor is to be accelerated or retarded by increasing or decreasing the operating voltage not considering the actual train traveling mode and not taking into account the kinetic energy of the entire moving parts of the train. In this paper a specific aspect of Fuzzy-ATO (Automatic Train Operation) is applied, when the conversion of speed differences into a 'traveling response' is to take place in accordance with the actual train 'traveling mode'. Using MATLAB SIMULINK and Fuzzy TOOLBOX software and environment, a PI-like fuzzy controller (FC) for a speed control of the dc traction motor model is designed. The designed FC has a Mamdani Model with two inputs: the linguistic variables 'speed deviation', and 'traveling mode'. The FC output is considered for the linguistic manipulated variable 'traveling response'. Furthermore, 21 IF-THEN fuzzy rules are put up together, and the Max-Min inference mechanism is used in the rule evaluation process. The final step in the fuzzy logic controller design is to combine the fuzzy outputs into a crisp output, the Center of Gravity (COG) method is used in the application due to better results it gives, while the integral action of the FC is taken separetely. Finaly, the influence of 'traveling mode' on the 'traveling response' at different 'speed deviation' is investigated. The simulation results show a sufficient performance of the train speed fuzzy control system using the designed PI-Like fuzzy controller.
The improvement of traveling responses of a subway train using fuzzy logic techniques
Reglerentwurf zur Verbesserung der Fahreigenschaft eines U-Bahnzuges im Automatikbetrieb mit Hilfe eines Fuzzy-PID-Reglers
2007
6 Seiten, 7 Bilder, 10 Quellen
Conference paper
Storage medium
English
Abbremsen , Ansprechwert , Antriebsmotor , automatische Zugsteuerung , Beschleunigen , Bremsdruck , Fuzzy-Logik , Fuzzy-Regler , Geschwindigkeitsregler , Inferenzmechanismus , Japan , kinetische Energie , Komfort (Eigenschaft) , künstliche Intelligenz , mathematisches Modell , Modellbildung , PID-Regler , PI-Regler , Prädiktivregelung , regelorientiertes Expertensystem , Regelungsmodell , Simulationsmodell , Simulationsprogramm , U-Bahn , wissensbasiertes System
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