ADAPTIVE NEURAL PID CONTROLLER FOR BALLBOT WITH UNCERTAINTY

Abstract

Controlling stability for Ballbots remains a continuing challenge due to their
highly nonlinear and complex uncertainty. In this paper, an adaptive neural PID
controller is developed for the Ballbot with uncertainty. Simulation results
demonstrate that the proposed controller outperforms the conventional PID
controller significantly.