Gyroscopic Balancer-Enhanced Motion Control of an Autonomous Bikebot

Author:

Wang Pengcheng1,Han Feng1,Yi Jingang1

Affiliation:

1. Department of Mechanical and Aerospace Engineering, Rutgers, The State University of New Jersey , Piscataway, NJ 08854

Abstract

Abstract Bikebot (i.e., bicycle-based robot) is a class of underactuated balance robotic systems that require simultaneous trajectory tracking and balance control tasks. We present a tracking and balance control design of an autonomous bikebot. The external-internal convertible structure of the bikebot dynamics is used to design a causal feedback control to achieve both the tracking and balance tasks. A balance equilibrium manifold is used to define and capture the platform balance profiles and coupled interaction with the trajectory tracking performance. To achieve fully autonomous navigation, a gyrobalancer actuation is integrated with the steering and velocity control for stationary platform balance and stationary-moving switching. Stability and convergence analyses are presented to guarantee the control performance. Extensive experiments are presented to validate and demonstrate the autonomous control design. We also compare the autonomous control performance with human riding experiments and similar action strategies are found between them.

Funder

Directorate for Engineering

National Science Foundation

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference35 articles.

1. Stable Learning-Based Tracking Control of Underactuated Balance Robots;IEEE Robot. Automat. Lett.,2021

2. Bicycle Dynamics and Control;IEEE Control Syst. Mag.,2005

3. Control of Autonomous Motion of Two-Wheel Bicycle With Gyroscopic Stabilisation,1998

4. Getz, N., 1995, “ Dynamic Inversion of Nonlinear Maps With Applications to Nonlinear Control and Robotics,” Ph.D. thesis, Department of Electrical Enginneering and Computer Sciences, University of California, Berkeley, CA.

5. Self-Stabilzing Strategy in Tracking Control of Unmanned Electric Bicycle With Mass Balance,2002

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