Control Unit for a Two-Wheel Self-Balancing Robot

Abstract

A self-balancing personal transporter which is based on the inverted pendulum concept has sufficient potential to provide solutions for the upcoming global issues in the transportation industry. However due to the expensive price range which the self-balancing scooters are introduced at and few safety issues, this concept has failed in reaching the hands and becoming popular among the majority of the society. Therefore this research paper consists of a comprehensive literature review on the existing models of the self-balancing transporter scooters, possible ways to reduce the initial cost of implementing a control unit for self-balancing transporter vehicles and methods to address the issues which generate along with the proposed cost-reduction methods. Real-time comparison of Kalman and Complementary filtering processes are performed to sort out the optimum algorithm to estimate the true angle of the inclination of the self-balancing prototype. Similarly several forms of control system implementation are compared through simulations and real-time experiments to obtain the ideal motor response for variations in the position of the prototype.