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An Intelligent Speed Controller for Indirect Vector Controlled Induction Motor Drive ABSTRACT: This paper presents the speed control scheme of indirect vector controlled induction motor (IM) drive. PWM controlling scheme is based on Voltage source inverter type space vector pulse width modulation (SVPWM) and the Conventional-PI controller or Fuzzy-PI controller is employed in closed loop speed control. Decoupling of the stator current into torque and flux producing (d-q) current components model of an induction motor is involved in the indirect vector control. The torque component Iq current of an IM is developed by an intelligent based Fuzzy PI controller. Based on settling time and dynamic response the performance of Fuzzy Logic Controller is compared with that of the PI Controller to sudden load changes. It’s provides better control of motor torque with high dynamic performance. The simulated design is tested using various tool boxes in MATLAB. Simulation results of both the controllers are presented for comparison.
KEYWORDS: 1. Indirect Vector Control (IVC) 2.
Space Vector Pulse Width Modulation (SVPWM)
3.
PI Controller
4. Fuzzy Logic Controller (FLC)
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM: For Simulation Results of the project Contact Us
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ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
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Fig.1 Block diagram of a proposed scheme
EXPECTED SIMULATION RESULTS:
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ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245 Fig.2 Starting response
Fig.3 Step response
Fig.4 Speed response for with and without load impact
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ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
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Fig.5 Torque response for with and without load impact
CONCLUSION: In this paper the concept of fuzzy logic has been presented and the SVM based indirect vector controlled induction motor drive is simulated using both PI and Fuzzy PI controller. The results of both controllers under the dynamics conditions are compared and analyzed. The simulation result support that the FLC settles quickly and has better performance than when PI controller.
REFERENCES: [1] Bimal K.Bose, “Modern Power Electronics and AC Drives”, Pearson education. [2] Leonhand.W, ‘Control of Electrical Drives’, Springer Verlag 1990. [3] Yang Li Yinghong, Chen Yaai and Li Zhengxi “A Novel Fuzzy Logic Controller for Indirect Vector Control Induction Motor
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ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245 [4] Drive” Proceeding of the 7th World Congress on Intelligent and Automation Jun 25 – 27, 2008, Chongqing,China, pp. 24-28 [5] R.A. Gupta, Rajesh Kumar, S.V.Bhangale “Indirect Vector Controlled Induction Motor Drive with Fuzzy Logic based Intelligent Controller”, ICTES,UK,December 2007,pp.368-373.
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