Model Predictive Control of a Novel Wheeled-Legged Planetary Rover for Trajectory Tracking

Sensors (Basel). 2022 May 30;22(11):4164. doi: 10.3390/s22114164.

Abstract

Amid increasing demands for planetary exploration, wide-range autonomous exploration is still a great challenge for existing planetary rovers, which calls for new planetary rovers with novel locomotive mechanisms and corresponding control strategies. This paper proposes a novel wheeled-legged mechanism for the design of planetary rovers. The leg suspension utilizes a rigid-flexible coupling mechanism with a hybrid serial-parallel topology. First, the kinematic model is derived. Then, a control strategy for the wheeled-legged rover that includes a trajectory tracking module based on the model predictive control, the steering strategy, and the wheel speed allocation algorithm is proposed. After that, three groups of cosimulations with different trajectories and speeds, and experiments are carried out. Results of both the simulations and experiments validate the proposed control method.

Keywords: advanced intelligent control; mobile robot; model predictive control; trajectory tracking; wheeled–legged.

MeSH terms

  • Algorithms
  • Biomechanical Phenomena
  • Models, Theoretical*
  • Planets
  • Robotics* / methods