About this document
IoT Motor Control Performance Analysis by vdphadke2003 is a document available to read on EtoBox.
The seminar report by Vedang Phadke analyzes the performance of various microcontroller platforms—ESP32, ESP8266, Arduino Uno, and Raspberry Pi—in controlling motors like SG90 servo and NEMA 17 stepper motors. It evaluates key metrics such as PWM jitter, CPU utilization, and accuracy, concluding that the ESP32 outperforms the others in motor control applications. The report also identifies research gaps and proposes future work, including RTOS integration and machine learning control.
- Author
- vdphadke2003
- Language
- EN