Motion Control of Omni-Directional Vehicle Using Optical Mouse Sensor and Laser Range Finder

Abstract

This paper describes a method of motion control for an omni-directional vehicle. The proposed control system consists of two controllers: self-tuning fuzzy feedforward controller to control the velocity and self-tuning fuzzy feedback controller to control the position and angle of the vehicle. In these controllers, the fuzzy rules are automatically adjusted by the tuning law to improve the responses of the position, angle and velocity; hence, the proposed control method has high-tracking performance. In the proposed self-localization method, the velocity of the vehicle is obtained using four optical mouse sensors as an internal sensor, and the position in the environment is calculated by ICP algorithm using a laser range finder as an external sensor. This information is combined using Kalman filter to eliminate the accumulated error which occurs by an optical mouse sensor. Therefore, the proposed self-localization method is able to estimate the state of vehicle with fast sampling time and high precision. An experiment, which uses an omni-directional vehicle with four omni-wheels, four optical mouse sensors and laser range finder, conducted to evaluate the proposed motion control system. The experimental results reflect the effectiveness of the proposed motion control system for an omni-directional vehicle.