PID Controller for DC Motor with Arduino: Speed and Position Tracking

Added:

Project Overview
PID Fundamentals
Discrete PID Equations
Encoder Implementation
Setup and Motor Control
Timer Interrupt Setup
Control Algorithm Code
Results and Analysis

Project Overview

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Playing Section
  • 1

    Outlines a full PID controller project for a DC motor, including encoder usage and trajectory tracking.

  • 2

    Details the code structure, covering variables, functions, and setup for motor control.

  • 3

    Explains the main loop's role in calculating error and applying control to minimize it.

Fundamentals of classical control theory, specifically the mathematical concepts behind Proportional, Integral, and Derivative (PID) controllers.
Basic Arduino programming, including the configuration of external interrupts and the concept of hardware timer interrupts.
The working principles of DC motors, pulse-width modulation (PWM) for speed control, and H-bridge motor drivers.
Operation of rotary encoders, specifically quadrature encoders, and how to decode their signals to measure speed and rotational direction.
Advanced PID tuning methodologies, such as the Ziegler-Nichols method, analytical tuning, or automated software-based tuning.
Implementation of feedforward control and cascade control architectures to improve system response and disturbance rejection.
Deploying motor control algorithms on Real-Time Operating Systems (RTOS) to ensure deterministic execution in complex embedded systems.
Introduction to modern control theory, including state-space representation, Linear Quadratic Regulators (LQR), and observer design like Kalman filters.
120.9K views2.5Klikes34:44@GeeKeeCeeBeeOriginal Release: 2019-12-09

A PID (Proportional-Integral-Derivative) controller is a feedback control system that minimizes the error between a desired trajectory and actual system output by combining three correction terms: proportional (present error), integral (accumulated past error), and derivative (predicted future error). In this Arduino implementation for DC motor control, the controller uses trapezoidal integration and backward difference methods to calculate the control signal, while anti-windup techniques prevent the integrator from saturating when the motor reaches its voltage limits. The system employs hardware timer interrupts (Arduino Uno's Timer 1 in CTC mode with 64 prescaler) to ensure precise 50ms sampling intervals, and quadrature encoders with external interrupts to measure motor position and speed for closed-loop tracking.