Design and Implementation of Pid-Based Intelligent Control on a Microcontroller Platform

Abstract

This research details an experimental setup for applying PID (Proportional-Integral-Derivative) control and other intelligent control algorithms on a microcontroller platform. A high-performance microcontroller, a number of sensors (e.g., temperature, pressure, position, and acceleration), a number of actuators (e.g., motors, valves, and relays), and a number of communication interfaces (e.g., UART, SPI, and I2C) are all part of the setup that can support real-time control applications. Integral to the system's functionality is the microcontroller's ability to operate with appropriate programming environments and neural network-based control algorithms. The output of a system may be controlled using PID control by constantly reducing the error between the actual output and a desired setpoint. Each of the three parts that make up the control signal—proportional, integral, and derivative—contributes in its own special way to the dynamic response of the system. Findings from the experiments prove that the PID algorithm is capable of producing precise and steady control. To reduce oscillations, the control signal is adjusted by the proportional term according to the present error, by the integral term according to the sum of all errors, and by the derivative term according to the trend of future errors.