Analysis Of Simulated Ward Leonard System's Response Using Autocorrelation

Ahmad Zaki, Hj. Shukor (2004) Analysis Of Simulated Ward Leonard System's Response Using Autocorrelation. Masters thesis, University of South Australia.

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Abstract

Background Speed control of motors have been rapidly developed. Previously, armature resistance control have been used for adjusting the speed of a motor, but its drawback is the power loss in resistance. Armature voltage control applies variable voltage to the armature current, while the field voltage is held constant. The Ward-Leonard system, which is discovered next, varies the motor’s field current and also varies the armature voltage. It has provided excellent possibilities for the adjustment of speed of the motor above or below its base value (2). The base value is the speed at the rated field current and armature voltage on full load. However, its (Ward-Leonard) popularity is decreased with the arrival of thyristor drives for speed control of motors. Project Objective This project is intended to model and analyse the parameters of the Ward-Leonard system using a signal analysis technique, which is autocorrelation. The results of relevant parameters from the autocorrelation analysis are compared and concluded with respect to the changes in the parameters of the Ward-Leonard system. In detail, this will be described in Chapter 4. Method and Tools This project has three phases, modelling the system, obtaining the simulation responses and applying the autocorrelation analysis on the responses. For modelling, the respective system is firstly solved on paper by constructing block diagrams connected by arrows and transfer functions, often shown in Control Systems studies. Next, the model done on paper is translated to blocks and connections in Simulink, Matlab. It is drawn and later simulated to prove that the model is correct. The simulation responses are obtained in Labview, a programming language which is widely used in the engineering fields. The programming is done in graphics and the results can be viewed simultaneously with the change of value of inputs. The final step in this project is to apply autocorrelation analysis. With the analysis (the programming, calculation and display) still done in Labview, the results are then compared so as to arrive to a conclusion on the change of the Ward Leonard parameters.

Item Type: Thesis (Masters) Electric controllers, Electric motors T Technology > T Technology (General)T Technology > TK Electrical engineering. Electronics Nuclear engineering Library > Tesis > FKE Nor Aini Md. Jali 15 Sep 2014 14:54 28 May 2015 04:30 http://eprints.utem.edu.my/id/eprint/13210 View Download Statistic