A Smart IOT System for Analysis and Mitigation of Harmonics and Inter Harmonics in the Input Current of MRAS Based Sensorless Speed Controlled Induction Motor Using Isolated Zeta Converter

The expanded utilization of variable recurrence drives brings about more harmonics and Inter harmonics on the supply side. This affects the sensitive loads that are connected to the same supply. To mitigate harmonics and Inter harmonics, a new method is proposed in this work. In this work, an isolated zeta converter is used in the dc link to control the DC link current which is functioning in intermittent conduction method. This converter controls the dc input voltage to the voltage source inverter. Zeta converter has inherent power factor correction with the single voltage sensor, and it reduces harmonics and Inter harmonics on the supply side. Model reference adaptive system (MRAS) technique is employed to control the speed of the initiation motor to attain well motor presentation. In MRAS, speed is expected by associating reference mode and adaptive mode. The proposed work is simulated in MATLAB/Simulink, and the fallouts are accessible. In this work, introduces a new advanced technology in which embedded scheme is included into the WSN based on MRAS technique. During this process, different sensors have connected to the motor, and the values are extracted using a microcontroller. It’s then transmitting to the base station through wireless communication, and at the base station, a Graphical User Interface with cloud server (IoT) given which provide the client can interface with the framework by using MRAS algorithm. The simulated results are verified with experimentally.