Article ID Journal Published Year Pages File Type
700149 Control Engineering Practice 2014 9 Pages PDF
Abstract

•The high-speed electric multiple unit is a complex nonlinear system.•A data-based ANFIS model is proposed to depict the complex nonlinear system.•We conduct simulations on the field data to validate our method.•The control process is performed under normal operation and other conditions.•The proposed method has a good simulation results on the actual V–S curve.

The high-speed electric multiple unit (EMU) is a complex, uncertain and nonlinear dynamic system. The traditional approach to operating the high-speed EMU is based upon manual operation. To improve the performance of high-speed EMU, this paper develops a control dynamic model to capture the motion of the high-speed EMU and then uses it to design a desirable speed tracking controller for EMU. We exploit a data-driven adaptive neurofuzzy inference system (ANFIS) to model the running process. Based on the ANFIS model, we propose a generalized predictive control algorithm to ensure the high-precision speed tracking of the high-speed EMU. The simulation results on the actual CRH380AL (China railway high-speed EMU type-380AL) operation data show that the proposed approach could ensure the safe, punctual, comfortable and efficient operation of high-speed EMU.

Related Topics
Physical Sciences and Engineering Engineering Aerospace Engineering
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