Adaptive Tracking and Synchronization Control of Dual-motor Driving Servo System

Abstract

This paper proposes an adaptive tracking and synchronization control scheme for dual-motor driving servo system with nonlinear dead-zone. To achieve the tracking performance, the neural network is used to approximate the unknown dynamics, and the approximation is incorporated into the control design to compensate the unknown dynamics. Then, adaptive dynamic surface controller is designed to improve the tracking performance. Moreover, a robust controller is presented based on the mean deviation coupling strategy to guarantee the synchronous operation of dual motors. Simulation results illustrate the performance of the proposed control strategy.