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<title>Direct Torque Control of Induction Motor Using Fuzzy Logic Controller</title>
<link href="http://hdl.handle.net/123456789/2555" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/2555</id>
<updated>2026-04-05T23:00:09Z</updated>
<dc:date>2026-04-05T23:00:09Z</dc:date>
<entry>
<title>Direct Torque Control of Induction Motor Using Fuzzy Logic Controller</title>
<link href="http://hdl.handle.net/123456789/2559" rel="alternate"/>
<author>
<name>Shelby Mathew, Bobin.K.Mathew</name>
</author>
<id>http://hdl.handle.net/123456789/2559</id>
<updated>2022-06-27T23:12:10Z</updated>
<published>2014-10-26T00:00:00Z</published>
<summary type="text">Direct Torque Control of Induction Motor Using Fuzzy Logic Controller
Shelby Mathew, Bobin.K.Mathew
This paper describes direct torque control (DTC) scheme of induction motor (IM) and its comparative study&#13;
using intelligent techniques under varying dynamic conditions are discussed. In conventional DTC PI controller is used&#13;
in the speed controller. PI controller is more suitable in steady state condition and for linear system. But since DTC&#13;
along with IM is mostly nonlinear, fuzzy controller will be more suitable. Fuzzy controller performs well in nonlinear&#13;
systems than PI controller. In this paper apart from fuzzy controller ANN will be proposed to provide better motor&#13;
dynamic performance and the look up table is now replaced by this ANN. The advantage of using ANN is that, in&#13;
classical DTC look up table is used to select switching states, thus size requirement will increase with some advanced&#13;
control. ANN will take less memory and is more reliable. In order to test performance of the DTC scheme for IM drive&#13;
using intelligent techniques, a complete simulation model is developed using MATLAB/simulink.
</summary>
<dc:date>2014-10-26T00:00:00Z</dc:date>
</entry>
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