Modeling for Subway Station Temperature Control System of Urban Rail Transit Based on Predictive Control

2011 ◽  
Vol 464 ◽  
pp. 119-122 ◽  
Author(s):  
Yu Dong Tian
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Temperature Control ◽  
Control Method ◽  
Urban Rail Transit ◽  
Temperature Control System ◽  
Subway Station ◽  
Rail Transit ◽  
Technology Application ◽  
Urban Rail

Urban rail transit is an important research field in the public traffic, and the subway station temperature control influences the performance of subway ventilation greatly. To aim at the problem, firstly the principle, algorithm and characteristics of predictive control method is analyzed; then a subway station temperature control system of urban rail transit and its characteristics are researched; at last, modeling of subway station temperature control system is advanced by applied the generalized predictive control in the view of technology application in order to resolve the control problems caused by time-change, long-hysteresis, uncertainty and strong-coupling to meet the require of temperature control characteristic.

Design of a Temperature Control System Based on Generalized Predictive Control

2015 ◽  
Vol 713-715 ◽  
pp. 897-900
Author(s):  
Yun Feng Peng ◽  
Chang Shu ◽  
Xiang Lin Tan ◽  
Zhi Chao Shao
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Temperature Control ◽  
Pid Control ◽  
Control Method ◽  
Inertial Navigation ◽  
Temperature Control System ◽  
Generalized Predictive Control ◽  
Matlab Simulation

According to the unsatisfied control result in a military inertial navigation platform,a control method combined with generalized predictive control and PID control is proposed,accurate control can be realized in terms of time and temperature. MATLAB simulation is given to illustrate that this method satisfies expected requirements well,and is feasible and available.

Hot Blast Stove Temperature Control System Based on Neural Network Predictive Control

2014 ◽  
Vol 709 ◽  
pp. 281-284 ◽  
Author(s):  
Yao Wu Tang ◽  
Xiang Liu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Predictive Control ◽  
Control Method ◽  
Delay System ◽  
Temperature Control System ◽  
Control Effect ◽  
Rolling Optimization ◽  
Hot Blast ◽  
Neural Network Predictive Control

Chain type coal-fired hot blast furnace boiler has a strong coupling, large delay, large inertia characteristics. Control effect of control method of mathematic modeling method and the classical routine of it is very difficult to produce the ideal. The predictive control theory combined with neural network theory. Through the model correction and rolling optimization control method of the system is good to overcome the effects of model error and time-varying process. The experimental results showed that neural network predictive control system is improved effectively the static precision and dynamic characteristic. It has better practicability of boiler temperature of this kind of large time delay system.

scholarly journals Design of Cloud Computing and Microservice-Based Urban Rail Transit Integrated Supervisory Control System Plus

2020 ◽  
Vol 6 (4) ◽  
pp. 187-204
Author(s):  
Songwei Yu ◽  
Haili Chang ◽  
Hanjun Wang
Keyword(s):  
Cloud Computing ◽  
Control System ◽  
Supervisory Control ◽  
Urban Rail Transit ◽  
Maintenance Cost ◽  
Rail Transit ◽  
Weak Current ◽  
Urban Rail ◽  
Supervisory Control System ◽  
Current Systems

AbstractIn traditional metro weak current systems, subsystems built by different manufacturers are physically separated, and devices are redundant while data are isolated. This causes low resource use, high maintenance cost, long customization cycles, and high interface complexity. In this paper, based on an analysis of the problems in traditional metro weak current systems, a novel cloud and microservice-based urban rail transit integrated supervisory control system (ISCS) named ISCS Plus is proposed. The integration mode of each subsystem is determined by analyzing safety requirements, real-time performance, and business characteristics. An infrastructure platform is designed to share resources and isolate applications based on cloud computing technology, while traditional subsystems are decomposed as microservices and merged into different applications. Finally, the entire architecture of ISCS Plus is established and its features are discussed. ISCS Plus plays a key role in the systematic, intelligent, and automatic solution for metro weak current systems and supports the development of the world's leading metro weak current systems.

Research on Calculation Methods of Urban Rail Transit Station Ticket Gates Load Degree

2013 ◽  
Vol 330 ◽  
pp. 569-573
Author(s):  
Chen Chen Zhang ◽  
Xu Zhang ◽  
Yan Hui Wang ◽  
Ling Xi Zhu
Keyword(s):  
Urban Rail Transit ◽  
The Other ◽  
Subway Station ◽  
Rail Transit ◽  
Calculation Methods ◽  
Passenger Flow ◽  
Urban Rail ◽  
Transit Station

There are many ticket gates at the subway station. The managers are quite careful about the load degree of the ticket gates. This paper studies two different methods to calculate the load degree of the ticket gates. One is based on the station ticket gates group as the research object, and the other one is based on the volume of passenger flow passing in and out of the station as the research object. Then we use the data investigated at Chaoyangmen station in Beijing to test and verify both of the methods. At last, we can get the conclusion that we can get the same result by the two methods, but the method of based on the volume of passenger flow passing in and out of the station is more reasonable.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

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