Performance Analysis of LEGO Mindstorm EV3 Robot with PID Controller for Trajectory Tracking Application

Abstract

Robotics is an emerging field of interest among students to explore attractive tasks with their ideas. For engineering design, analytical observations are mandatory for the identification of further improvements in the design. LEGO Mindstorm robotics is the one which gives a platform for both design and analytical inference from its operation. In this work, a Proportional Integral Derivative (PID) controller-based two-wheeled line follower is developed, and its performance is analyzed from the tools of the LEGO platform. Colour and ultrasonic sensors are used in three scenarios to check the ruggedness of the controller inline tracking and obstacle detection. The robotic performance is informative and impressive with 36% more efficient in the path tracking with different scenarios using LEGO modules.