PID controller for a differential drive robot balancing system

Abstract

Controlling a differential drive robot balancing system is a challenging task since it is highly unstable, non-linear and under-actuated system. This paper proposes a PID controller algorithm to balance a differential drive robot at upright position. The system model derived using Lagrangian method is discussed. The resulting mathematical model of the proposed closed-loop system was simulated. To verify the system performances, the real time experiments have been conducted. An Arduino Uno and an MPU6050 were used as the main controller and the main sensor, respectively. The PID parameters were manually tuned until the desired performance was achieved. From the simulation and the real time experiment results, the proposed method has demonstrated its capability to stabilize robot at upright position.

Study on Dynamic Simulation of Differential Driving Cargo Transport Vehicle

“…Automatic Guided Vehicle (AVG) is a kind of mobile intelligent autonomous or semi-autonomous robot, which has broad application prospects in modern logistics and warehousing, flexible manufacturing, military fields and operations in dangerous environments [1], its existence not only fills the work of humans in daily life, robots are also used in the industrial field, which can improve productivity and reduce labor costs [2]. In places with heavy workload and strong dynamics of cargo transportation, the transportation process always needs to be dynamically adjusted according to the demand in a dynamically changing environment [3].…”