Abstract
Single-phase induction motors are also used extensively for smaller loads. Speed control of induction motor has beenimplemented using PI (Proportional-Integral) controller and Fuzzy PI controller in Simulink MATLAB. The results showthat induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than the conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PI controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motor Fuzzy-PI speed control has better performance. Moreover, the induction motor Fuzzy-PI speed control has a strong ability to adapt to the significant change of system parameters.
Highlights
An induction or asynchronous motor is an AC motor in which all electromagnetic energy is transferred by inductive coupling from a primary winding to a secondary winding, the two windings being separated by an air gap
The time response from simulation results of speed control of induction motor using PI and Fuzzy-PI controller using the Simulink MATLAB are shown in figure 14
Matlab simulations results show that induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than the conventional PI controller
Summary
Induction motors (IM) have long been widely used in many industrial applications. IM can be considered as a single input, single output (SISO) system having torque-speed characteristics compatible with most mechanical loads. The conventional control methods of induction motor (IM) have various drawbacks, such as; (i) If mathematical model of the system is not accurate, it is not possible to get accurate results, (ii) Load disturbance, motor saturation and thermal variations affect motor performance adversely, (iii) Classical linear control shows good performance only at one operating speed. The induction motor modelled, controlled and simulated in this work has following parameters. It is necessary to use the flux errors as inputs to the PI controllers that will determine the direct and sq components of the new stator voltage vector. To increase the system information level, the flux space vector rotational speed is calculated as the time derivative of the flux space vector position This can be used to give an element of acceleration to the calculation of sq voltage vector component, increasing the torque controller robustness. This can be used to give an element of acceleration to the calculation of sq voltage vector component, increasing the torque controller robustness. [10, 18, 25, 31]
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