Adaptive Backstepping Sliding-Mode Control for Permanent Magnet Linear Synchronous Motors

This paper presents a position servo control approach for permanent magnet linear synchronous motors. A backstepping sliding-mode controller is proposed for the system. To overcome the impacts of system uncertainties, an adaptive radial basis function network is exploited to estimate the uncertainty and provide necessary compensation in the control effort. Based on the Lyapunov functional analysis, the adaptive laws for online tuning the parameters of the radial basis function networks are derived so that the precision of the position servo controller can be improved. The effectiveness of the proposed controller is verified by the simulation results.