FPGA-Based Motor Control Systems for Industrial Automation

This study delineates the procedures for the development and execution of a motor control system for industrial automation that employs FPGAs. The objective is to overcome the constraints of conventional systems that depend on digital signal processors and microcontrollers. Scalability, accuracy, and the parallel processing capabilities of FPGAs are all incorporated into the proposed system, which operates multiple actuators in real time. The motor's position, current, and speed are regulated by an FPGA-implemented Proportional-Integral-Derivative (PID) algorithm, while a high-resolution Pulse Width Modulation (PWM) generator is employed for precise speed control. The system architecture is engineered to respond with minimal latency and provide real-time feedback, thereby enabling it to manage intricate industrial automation processes. The experimental results indicate that the FPGA-based system outperforms conventional control systems in terms of power consumption, control accuracy, and latency reduction.