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Fuzzy Logic Based Indirect Vector Control for Induction Motor
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This project mainly deals with the fuzzy control strategies for the control and observation of induction motor. Induction motor control is a challenging problem due to internally nonlinear and high order nature of the motor. The fuzzy logic controller (FLC) is chosen because of following advantages as: (i) wider range of operating conditions can be covered using FLC. (ii) Easier to adapt in terms of simple language. (iii) they are economical to develop. For indirect vector control the reference speed of induction motor has been used and control architecture includes some rules. These rules provides relationship between two inputs and one output. Speed error and rate of change of the speed error are considered as the input linguistic variables and the torque-producing current component is considered as the output linguistic variables. The errors are evaluated according to rules defined by membership functions. The complete vector control scheme of the induction drive incorporating the FLC is implemented using MATLAB simulation. .
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