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DC motors have a wide range of usage in the industry. So its control is one of the important topics. In literature, there are different control algorithms for the speed control of DC motor. This paper presents a comparative study of PI and Self-Tuning PI controller for the speed control of DC motor. DC motor is modeled and classicPI controller applies for the speed control of DC motor. Pole Placement method is used to get parameters of the PI controller which are Kp and KI. Fuzzy Logic is used for Self-tuning PI controller design. In this controller, Kp and KI controller gains are adjustable parameters and are updated depending on the speed error and change of error. Simulations of these two controllers are performed in the Matlab/Simulink. PI and Self-tuning PI controller are compared and results are given in graphs. The simulation results show that the Self-tuning PI controller has better efficiency than the classic PI controller.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Nurettin Gökhan Adar Mustafa Eroğlu R. KOZAN

In this study, fatigue analyses of rails UIC60 and 49E1 were carried out numerically using a special program written in the MATLAB environment, considering the maximum dynamic stresses for two different rail systems under the effect of highspeed trains. Each sleeper region of the railway rail system is modelled as a simple supported Euler-Bernoulli beam. The highspeed train system is defined as a moving oscillator with fixed distances between them. For motion equations, the Lagrange function is determined by using kinetic and potential energies of the system and then Hamilton principle is applied. These differential equations are solved by using the fourth order RungeKutta method in time domain to determine the value of the maximum stresses generated, and its position on the rail. For a 40 tons of vehicle load the fatigue behaviour of UIC60 rail is found greater than the 49E1 rail. Using these data, the life determinations of these two different rails could then be numerically determined without the need for laborious, time consuming and costly experimental methods.

International Iron & Steel Symposium
UDCS

İsmail Esen Mehmet Akif Koç Mustafa Eroğlu Yusuf Cay

A vehicle moving on a flexible structure likewise a bridge beam with sudden acceleration and deceleration velocity causes sliding in wheels. This impact effect designing of rail components, supports and substructure. In this study ten degree of freedom (DOF) train bogie is considered to analyse effect of sudden acceleration and deceleration impact in terms of train bogie dynamics. Therefore, the bridge beam is considered simple supported Euler-Bernoulli beam with uniform crosssection. The equation of motion vehicle bridge coupled system has been obtained Lagrange equation and these equations converted to first order state-space representation using state variables. Then equation of motion of entire system has been solved step by step technique using fourth order RungeKutta algorithm in time domain and results have been presented in the study in term of vehicle dynamics.

International Symposium on Railway System Engineering
ISERSE

Mehmet Akif Koç Mustafa Eroğlu İsmail Esen

In this paper, ten DOF half car train model was examined to determine time dependent dynamical contact forces between train wheel and flexible structure likewise a bridge. The train model which used in this study consist of train front and rear bogies, train wheels I train body and spring and damping element which represent primary and secondary suspension systems for high speed train. The equation of motion for Train Bridge Interaction (TBI) is defined by Lagrange equation using kinetic and potential energies of contact points between high speed train wheel and bridge structure. After the equation of motion stated first order state-space representation, the equations of motion of the entire system were solved in time domain using fourth order Runge-Kutta algorithm with special a software that papered in MATLAB environment. Then, the contact forces between train wheels and bridge structure have been evaluated in terms of train velocity, train body mass and bridge flexibility. Consequently, it was observed that the contact forces are very influenced by the train and bridge parameters.

International Symposium on Railway System Engineering
ISERSE

Mehmet Akif Koç Mustafa Eroğlu İsmail Esen Yusuf Cay

The dynamic behavior of the railway vehicle is an important part of railway transport. Suspension elements affect the dynamic behavior of passenger comfort and railway vehicle components in rail vehicles. In this study, a solid model of 2-degree-of-freedom railway wheels is generated. This model is analyzed with Finite element software. Primary suspension and the ballast elements used in the substructure are used in the finite element model. The primary suspension system reduces the sudden loads from the wagon. On the other hand, the ballast reduces loads by spreading over large areas and absorbing vibrations. In this study, the damping ratio of the primary suspension element is 3 different values (0-39.2-80 Ns/mm) while the ballast spring coefficient is 3 different values (30-65-100 kN/mm) and the ballast damping ratio is 3 different values (0-30-60 Ns/mm). So 27 different analyzes are carried out with the finite element program. As a result of the analysis, the stress of the rail surface, displacement of the rail and the vibration values are determined. A system is formed based on fuzzy logic. Using the fuzzy logic, the dynamic behavior of the railway vehicle for the desired spring and damping values is estimated. The results of the fuzzy logic model and the finite element model are compared, and the fuzzy logic model is accurate up to 90%.

International Symposium on Railway System Engineering
ISERSE

Mustafa Eroğlu Mehmet Akif Koç İsmail Esen Nurettin Gökhan Adar