A model for a mobile inspection robot is introduced. Based on human driving behavior, a fuzzy control method for mobile robot path tracking is proposed. Angular velocity controller is established by distance error and angle error. Angular velocity is controlled to implement path tracking of the wheeled mobile robot. Experimental results show that the effectiveness of the inspection robot controller is good and it is effective.
Based on introduction of the fluid diffusion energy, the model for path planning is presented. The adaptive mesh is used to solve the equation model for path planning. Based on the dynamic model and kinematic constraints of the nonholonomic mobile robot, a trajectory tracking controller is designed. Theory and calculation results prove that, as a new method for mobile robot path planning, the equation of the fluid diffusion energy for nonholonomic mobile robot path planning is feasible and effective.
A Backstepping Control Method for Mobile Robot Path Tracking
