Abstract
Abstract To shorten the travel time and improve comfort, the automatic train driving system is considered to replace manual driving. In this article, an automatic control method of computer application data-processing system based on artificial intelligence is proposed. An automatic train operation (ATO) introduced the structure and function of an autopilot system (train), optimized the train running on the target curve, introduced the basic principle of fuzzy generalized predictive control (PC) algorithm, and combined with the characteristics of ATO system design the speed controller based on optimization algorithm, the target curve to make use of the designed controller to track and simulation validation. The experimental outcomes demonstrate that when the train runs to 90 s, the displacement difference reaches about 40 m, which proves that the fuzzy PC has better displacement tracking, punctual arrival, and higher stopping accuracy.
Highlights
Computer automatic control technology is widely used in agricultural production, industrial production and daily life and other fields, in the computer automatic control of network technology, to improve the production environment, improve production efficiency to apply logic way of thinking and logic operation management, resolved to make the defects existing in the control technology, improve flexible management in computer automatic control technology, and improve data processing in automatic control [1]
Experimental results reveal that the virtual game world’s performance is improved by 45%, and that it can be promptly and consistently converged in the pavilion, where the earlier method failed [6]
The simulation formulation of train’s operation, the concept of automatic train operation (ATO), the operation strategy, and fuzzy predictive control (FPC) algorithm application in train automatic driving are all investigated in depth in this study
Summary
Computer automatic control technology is widely used in agricultural production, industrial production and daily life and other fields, in the computer automatic control of network technology, to improve the production environment, improve production efficiency to apply logic way of thinking and logic operation management, resolved to make the defects existing in the control technology, improve flexible management in computer automatic control technology, and improve data processing in automatic control [1]. To realize the high quality control of ordinary railway train operation, this study adopts the control mode combining fuzzy logic and predictive control (PC) and determines the control indexes, automatic driving strategies, and principles in the process of train operation according to the existing driving experience and expert knowledge. The running process is modeled in real time using a PC approach based on fuzzy strategy, and a reasonable and optimum automatic driving scheme is obtained. This article proposes a research on automatic control of computer application data processing system based on AI and applies fuzzy logic and PC algorithm to train automatic driving system. By studying traction calculation model, train automatic driving theory and train operation model in detail, data processing method of train operation line, operation principle, and operation strategy of train automatic driving optimization are given.
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