System Integration

1. What is System Integration?

System Integration is the process of connecting different subsystems or technological components into a single, cohesive architecture that functions as a unified system. Its main goal is to ensure that independent elements —whether hardware, software, or both— work together in a coordinated manner to perform complex tasks that they could not achieve individually. This involves establishing communication between modules, ensuring interface compatibility, and designing centralized or distributed control logic. In DragonTrack, we integrate sensors, actuators, custom PCBs, and mechanical structures to achieve autonomous and efficient ball collection.

2. My Final System: DragonTrack

DragonTrack is an autonomous robotic ball-collector designed to efficiently locate, track, and collect balls in a designated environment. The system consists of a custom mechanical structure manufactured using digital fabrication methods (3D printing + CNC machining), optimized transmission mechanisms, and a microcontroller-based control architecture. The goal is to create an agile, robust mobile robot that automates the tedious task of ball retrieval through synchronized locomotion and an intelligent capture system.

3.1 Mechanical Components

3.2 External Electronics

3.3 Custom PCB Components

The mechanical design of DragonTrack focuses on a functional, rugged, and agile solution. The structure combines lightweight 3D-printed brackets with durable CNC-machined elements to ensure rigidity and performance. Fully modeled in Fusion 360, the design places the intake mechanism at the front to optimize ball interception, while internal storage capacity is maximized without increasing the robot's physical footprint. Key components such as motor mounts and wheel hubs are reinforced to withstand loads during continuous driving.

The chassis is structured with interlocking assemblies to allow adjustments, upgrades, and quick access to electronics. The custom transmission system optimizes torque-to-speed ratio, allowing the robot to maintain steady movement while the collection roller operates efficiently. Onboard power and microcontroller integration ensure smooth, controlled operation.

The drive motors and collection mechanism are controlled using an intelligent embedded program. Motors respond to sensor inputs to execute smooth turning, acceleration, and tracking maneuvers, dynamically adjusting speeds to ensure reliable ball capture.

Tracking & Detection Functionality

DragonTrack uses tracking logic to start, pause, or adjust its collection routine. The robot processes input data to locate balls and commands the drive system to align with the target. Detecting a ball initiates a capture sequence, while losing the target safely pauses the robot or triggers a scanning rotation.

Possible Issues

• Motor Driver Connection: Incorrect wiring causes no movement or excessive current draw.
• Tracking Sensor Disconnection: Malfunction leads to infinite spinning or failure to recognize objects.
• Power Instability: Voltage drops that reset the microcontroller during motor stalls.
• Signal Noise: EMI near logic lines causing erratic movements or false sensor readings.

Microcontroller Code

// DragonTrack System Control Code
#include <Arduino.h>

// Define Motor Control Pins (Adjust to match your custom PCB routing)
const int motorLeftPWM = ( );
const int motorLeftDir = ( );
const int motorRightPWM = ( );
const int motorRightDir = ( );
const int intakeMotorPWM = ( );

// Define Sensor Inputs
const int trackingSensorPin = ( );
int sensorState = 0;

void setup() {
    pinMode(motorLeftPWM, OUTPUT);
    pinMode(motorLeftDir, OUTPUT);
    pinMode(motorRightPWM, OUTPUT);
    pinMode(motorRightDir, OUTPUT);
    pinMode(intakeMotorPWM, OUTPUT);
    pinMode(trackingSensorPin, INPUT);
    Serial.begin(115200);
}

void loop() {
    sensorState = digitalRead(trackingSensorPin);

    if (sensorState == HIGH) {
        // Target detected: Engage intake and move forward
        digitalWrite(motorLeftDir, HIGH);
        digitalWrite(motorRightDir, HIGH);
        analogWrite(motorLeftPWM, 180);
        analogWrite(motorRightPWM, 180);
        analogWrite(intakeMotorPWM, 255);
        Serial.println("Target Tracked - Collecting...");
    } else {
        // No target: Spin safely in place to scan environment
        digitalWrite(motorLeftDir, HIGH);
        digitalWrite(motorRightDir, LOW);
        analogWrite(motorLeftPWM, 120);
        analogWrite(motorRightPWM, 120);
        analogWrite(intakeMotorPWM, 0);
        Serial.println("Scanning for targets...");
    }
    delay(50);
}

Tracking Optimization: Basic binary detection logic can be improved with algorithms handling variable angles and distances. Refining this requires analyzing latency and mechanical response to achieve fluid interception paths.

During the testing phase, system functionality is validated by assessing each component individually: locomotion motors, drivers, intake mechanism response, and storage alignment. The tracking sensor interface is monitored across different ambient lighting levels. Custom mechanical transmissions undergo cyclic stress tests, and the chassis is tested on various floor textures to ensure vibration does not loosen critical connections. Soft-start acceleration profiles are implemented to mitigate current spikes.

Overall packaging and balance ensure that heavy components like batteries are centrally located to maintain a stable center of gravity. Final integration tests confirm that DragonTrack operates as a unified platform: autonomous navigation, target tracking, and reliable collection.

[X] Product-oriented design with clean finishes, post-processed geometries and protected sensors.

The most important lesson learned: mechanical design is fundamentally linked to electronics performance. Calculating proper transmission gear ratios and calibrating motor speeds for precise maneuvers was critical. For future students, I highly recommend focusing on power distribution and structural rigidity from day one, performing iterative bench tests on sub-circuits, and being prepared to redesign mounting brackets. Robot balance, cable routing, and electrical noise management are key to achieving a reliable, professional system.

Completing the final system integration of DragonTrack allowed me to synthesize practical engineering skills from industrial design, digital fabrication, and embedded electronics. I gained advanced insights into motor control (acceleration profiling, torque regulation), sensor noise management, and data filtering for reliable real-time tracking. On the mechanical side, designing for assembly with tight tolerances using 3D printing and CNC machining was an enriching challenge. From an electrical perspective, designing a robust power bus that isolates logic from high-current noise proved invaluable. This project demonstrated that small physical adjustments drastically alter overall performance, reinforcing the value of rigorous testing and iterative prototyping.

Copyright 2026 — Carlos Perez · Creative Commons Attribution Non Commercial