Abstract
Here we are using the scalar control approach for regulating the speed of SCIM(Squirrel Cage Induction motor), but in previous stage, a fixed frequency is set to the SCIM to maintain the constant speed. Here, the scalar ratio is sustain constant in order to get fixed twisting force throughout the entire operation. Since only input frequency and voltage are changed, this is known as “scalar control”. The SCIM implementing such a control are without any feedback approach. Hence, this regulating approach is low cost and maintenance free. This control is widely used because little information of motor is required. But at lower speeds, potential drop across stator impedance is more compared to air-gap voltage. So it has poor torque at low speeds. For that we will have to boost some voltage at low frequencies. We can go for Closed-Loop control if we want precise control. For voltage & frequency control of SCIM in proper ratio, VSI appropriate control method is necessary. The speed regulating of SCIM is more vital to achieve good performance and maximum twisting force. Here we implement a rule-based fuzzy logic controller supply to a scalar closed loop scalar SCIM regulating with slip regulation and its matlab results. The SCIM is modelled in terms of direct axis and quadrature axis windings.
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