Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/11472
Authors: Maloth, Ravi
Issue Date: 2010
Abstract: Modern method of static frequency conversion has liberated the induction motor from its historical role as a fixed speed machine. Scalar control of Induction Machine is one of the very useful and simple techniques of speed controlling. Here, the V/f ratio is maintained constant in order to get constant torque over the entire operating range. Since only magnitudes of the input variables —frequency and voltage— are controlled, this is known as "scalar control". Generally, the drives with such a control are without any feedback devices (open loop control). Hence, a control of this type offers low cost and is an easy to implement solution. In such controls, very little knowledge of the motor is required for frequency control. Thus, this control is widely used. For controlling voltage & frequency of Induction Motor in proper ratio, Voltage Source Inverter appropriate control technique is necessary. Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. The present work presents a rule-based fuzzy logic controller applied to a scalar closed loop Volts/Hz induction motor (IM) control with slip regulation and its simulation results. A Fuzzy Logic Controller which improves the performance of scalar control of Induction Machine has been proposed. The method uses a new linguistic rule table to adjust the motor speed. Thus with Fuzzy Logic Controller a good system performance of the scalar controlled Induction Motor drive is achieved. Induction motor has many advantages like it is very simple. It has sufficiently high efficiency. Linear Proportional —Integral & derivative (PD) control is not a well established control method in motor drive because of the nonlinearity of induction motor. Fuzzy logic controller has the capability to control nonlinear, uncertain systems even in the case where no mathematical model is available for the control system. Fuzzy Pi control is introduced in the system for keeping the motor speed to be constant when the load varies.
Other Identifiers: M.Tech
Research Supervisor/ Guide: Indra, Gupta
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (Electrical Engg)

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