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Performance of Induction Motor by Indirect Vector Controlled Method using PI and Fuzzy Controller

Author : Suraj Deelip Pawar

Pages : 1045-1048
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This paper mainly deals with the fuzzy control approach for the control and observation of induction motor. Control of induction motor is a challenging problem for due to internally nonlinear and high order nature of the motor. The fuzzy logic controller is chosen because of following advantages as: (i) a wider range of operating conditions can be covered using FLCs. (ii) they are easier to adapt in terms of natural language. (iii) they are economically advantageous to develop. For indirect vector control of induction motor a reference speed has been used and control architecture includes some rules. These rules provides relationship between two inputs and an output. These are speed error(e) and rate of change of the speed error(Δe) are considered as the input linguistic variables and the torque-producing current component(iq) is considered as the output linguistic variables. The errors are evaluated according to rules in accordance to defined member functions. The complete vector control scheme of the IM drive incorporating the FLC is implemented using MATLAB simulation. The performances of the proposed FLC-based IM drive are determined and compared to those obtained from the conventional proportional-integral (PI) controller-based drive theoretically at different dynamic operating conditions such as sudden change in command speed, step change in load, etc.

Keywords: Indirect Vector control, Fuzzy Logic Intelligent controller, PI controller, Induction motor, Speed control

Article published in International Journal of Current Engineering and Technology, Vol.6, No.3 (June-2016)

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