Tracking Control of Mobile Robots Based on the BP Neural Network

Abstract

An intelligent tracking control system based on the micro-control unit (MCU) has been developed to control the motors by sensing the change of black guide lines. After the training of the BP Neural Network, the MCU is able to make decisions quickly and accurately for various situations during robot moving. Using MCU technology to control the motors, the system is compatible for both manual and automatic control. The experiment shows that the mobile robot could follow the change of black guide lines accurately and quickly, and stillness and out-of-orbit were effectively inhibited during moving. The proposed tracking control system based on the BP Neural Network has been verified to have high reliability.