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Based on the characteristics of freight train control, which are nonlinear, time-delay, with multi-constraint and multiobjective, this paper focuses on speed tracking problem. Firstly, in a gradual process, a multi-modal fuzzy PID (MM-FPID) control algorithm is presented on the basis of a brief analysis of PI and PID control, which is generally used to train control in active services. Secondly, in...
A fuzzy optimization model based tolerance approach is proposed to handle timetable rescheduling in high speed railway during speed restriction period. As the limited speed and headway time are not crisp figures in practice especially when some natural hazards happen or some equipment failure, tolerance approach is introduced with the fuzzy membership functions of the original objective and soft constraints...
This paper discusses the influence factors of detector spacing optimization. Through the corresponding mathematical conversion, it gets the model parameters which influence the result of detector spacing optimization. IDF (Information Degree Function) is proposed to describe the spatial distribution characteristics of traffic information. Then, this paper gives the calibration method of the model...
The organization of the high speed railway is most important in China today, while the line planning step is the key to make the high speed railway system to run safely. It is urgent to find a new method to generate a robust line plan for high speed railway to adapt with the randomly occurring disturbs. A model is built in this paper and the approach to select the most robust line plan is discussed...
In this paper, a new kind of FPSO is proposed, called convergent fuzzy particle swarm optimization (CFPSO) to enhance the convergent performance. A convergent gene is introduced in the velocity equation of the FPSO, thus it turns to CFPSO. And it differs from convergent particle swarm optimization (CPSO) in that it employs the fuzzy membership function in the velocity equation. The CFPSO performance...
Fuzzy particle swarm optimization (FPSO) has shown its great searching ability and high computing precision, while it can not assure the algorithm is convergent. In this paper, a new kind of FPSO is proposed, called convergent fuzzy particle swarm optimization (CFPSO), employing the convergent gene. It differs from normal FPSO in that a convergent gene is introduced in the velocity equation. And it...
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