Importance Of Railway Transport

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Any transportation system needs a source of power to drive its vehicles carrying their passengers or goods from one place to another. From the early invention of steam engines to modern electric locomotives, railway transport systems have had a long history and huge developments to become one of the most popular modes of public transport over the last century. To provide power propulsion and the need of higher-speed, more luxurious and more reliable services, electrification has been the first choice and widely applied to modernise most of the railway transport systems across the world for several decades. The term power quality is applied to wide variety of electromagnetic phenomena on the power system. Since the end userfs equipment cause…show more content…
19 . 21, 2013, Coimbatore, INDIA power grid flows to dc capacitor and as ƒÆ varies between 0. and .ƒÎ, the converter is used for inversion and the energy of dc link will flow to the traction power arm. For harmonic suppression, the total harmonic distortion (THD) of traction power supply current should be less than 8% according to IEEE standards. [13] V. CURRENT TRACKING CONTROLLER FOR RPC The main function of the RPC converter is to track the…show more content…
Fuzzy controller based tracking is discussed for various case studies. A. Current tracking controller using fuzzy control Fuzzy control has good dynamic characteristics and good robustness and is not sensitive to changes of system parameters and can overcome the effects due to some non-linear factors in the system. The current tracking control using fuzzy control is shown in Figure 7. The reference current and the converter output signals are compared and is given as input to the fuzzy controller. The error is tracked by the controller and the converter firing angle is controlled so that the reference current is tracked by the RPC to get the desired output. Fuzzy is given two inputs error and the derivative of error. Fig. 7. Current tracking by fuzzy controller Fuzzy logic controller (FLC) is capable of improving its performance in the control of a nonlinear system whose dynamics are unknown or uncertain. Fuzzy controller is able to improve its performance without having to identify a model of the plant. Fuzzy control is similar to the classic

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