Automatic train control-an intelligent approach
In this paper, the two-leveled hierarchical intelligent control system structure, which is based on the process partition (PP) and expert system (ES) techniques, and the intelligent multiobjective optimal control (IMOC) approach, which is the combination of PP, ES and the fuzzy multiobjective optimal control (FMOC), are proposed. Then IMOC is used to implement the intelligent control of train travelling process, and the proposed intelligent automatic train control system (IATCS) is given in detail. The simulation results have proved the feasibility of the paradigm proposed.<<ETX>>