Litcius/Paper detail

Discrete-Time Predictive Sliding Mode Control for a Constrained Parallel Micropositioning Piezostage

Shengzheng Kang, Hongtao Wu, Xiaolong Yang, Yao Li, Jiafeng Yao, Bai Chen, Huimin Lu

2021IEEE Transactions on Systems Man and Cybernetics Systems77 citationsDOI

Abstract

This article proposes a new discrete-time predictive sliding mode control (DPSMC) for a parallel micropositioning piezostage to improve the motion accuracy in the presence of cross-coupling hysteresis nonlinearities and input constraints. Unlike the traditional linear discrete-time sliding mode control (DSMC), the proposed DPSMC is chattering free and has a faster convergence rate thanks to the design of a nonlinear discrete-time fast integral terminal sliding mode surface. Moreover, by combining with the receding horizon optimization, the sliding mode state is predicted to follow the expected trajectory of a predefined continuous sliding mode reaching law, which also allows the proposed controller to explicitly deal with constraints. The stability of the closed-loop system is analyzed under the model disturbances and constraints, and proves that the proposed DPSMC can offer a smaller quasi-sliding mode bandwidth than the traditional DSMC. The effectiveness of the proposed controller is validated by a series of numerical simulations and experiments. Results demonstrate the advantages of proposed DPSMC over the traditional DSMC method.

Topics & Concepts

Control theory (sociology)Sliding mode controlDiscrete time and continuous timeNonlinear systemComputer scienceTrajectoryModel predictive controlMode (computer interface)Controller (irrigation)Convergence (economics)Terminal sliding modeMathematicsControl (management)PhysicsArtificial intelligenceAstronomyBiologyEconomicsOperating systemAgronomyStatisticsQuantum mechanicsEconomic growthPiezoelectric Actuators and ControlIterative Learning Control SystemsShape Memory Alloy Transformations