Open AccessPerformance & Analysis of Fuzzy Logic Controller Based Induction Motor Drive System Using Simulink
Author(s) -
Meenu Gupta,
Reena Kamboj,
Rinku Dhiman
Publication year - 2014
Publication title -
international journal of computer and communication technology
Language(s) - English
Resource type - Journals
eISSN - 2231-0371
pISSN - 0975-7449
DOI - 10.47893/ijcct.2014.1235
Subject(s) - induction motor , control theory (sociology) , fuzzy logic , robustness (evolution) , electronic speed control , inverter , pid controller , control engineering , controller (irrigation) , computer science , open loop controller , matlab , motor drive , voltage , engineering , control (management) , electrical engineering , artificial intelligence , temperature control , mechanical engineering , agronomy , biochemistry , chemistry , closed loop , biology , gene , operating system
Variable speed drives are growing and varying. Drives expanse depend on progress in different part of science like power system, microelectronic, control methods and so on. In this paper, the motor drive system comprises a voltage source inverter-fed induction motor (VSIM): namely a three-phase voltage source inverter and the induction motor. The squirrel-cage induction motor voltage equations are based on an orthogonal d-q reference-rotating frame where the co-ordinates rotate with the controlled source frequency. The paper presents a novel fuzzy logic controller for high performance induction motor drive system. The inputs to the fuzzy logic controller are the linguistic variables of speed error and change of speed error, while the output is change in switching control frequency of the voltage source inverter. In this paper a comparison between fuzzy logic controller and traditional PI controllers are presented. The results validate the robustness and effectiveness of the proposed fuzzy logic controller for high performance of induction motor drive. Simulink software that comes along with MATLAB was used to simulate the proposed model.