Tracking control of a two-axis motion system via a filtering-type sliding-mode control with radial basis function network
Authors:
- 6 April 2010
- journal article
- Published by Institution of Engineering and Technology (IET) in IET Control Theory & Applications
- Vol. 4 (4) , 655-671
Abstract
In this study, a filtering-type sliding-mode control with a radial basis function network (FSCRBFN) for a two-axis motion control system, which consists of two permanent magnet linear synchronous motors (PMLSMs), is proposed. First, the dynamics of the single-axis motion system with a lumped uncertainty which contains parameter variations, external disturbances, cross-coupled interference and non-linear friction force is derived. Next, a filtering-type sliding-mode control (FSC) is adopted for the two-axis motion control system to confront the lumped uncertainty. Then, to improve the control performance in contour tracking, the FSCRBFN control approach is developed. In the control approach, a radial basis function network (RBFN) is employed mainly to estimate the lumped uncertainty. Moreover, the proposed control approach is performed on a digital signal process (DSP)-based control system using TMS320C32. Finally, some experimental results are illustrated to show the validity of the proposed control approach.Keywords
This publication has 18 references indexed in Scilit:
- Intelligent Sliding-Mode Control Using RBFN for Magnetic Levitation SystemIEEE Transactions on Industrial Electronics, 2007
- Robust Fuzzy Neural Network Sliding-Mode Control for Two-Axis Motion Control SystemIEEE Transactions on Industrial Electronics, 2006
- Quasi-continuous high-order sliding-mode controllersIEEE Transactions on Automatic Control, 2005
- A Novel Motor Drive Design for Incremental Motion System via Sliding-Mode Control MethodIEEE Transactions on Industrial Electronics, 2005
- Neural network-based model reference adaptive control systemIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2000
- Output feedback control of nonlinear systems using RBF neural networksIEEE Transactions on Neural Networks, 2000
- Robust nonlinear speed control of PM synchronous motor using boundary layer integral sliding mode control techniqueIEEE Transactions on Control Systems Technology, 2000
- Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]IEEE Transactions on Automatic Control, 1997
- Sliding mode control design principles and applications to electric drivesIEEE Transactions on Industrial Electronics, 1993
- Functional equivalence between radial basis function networks and fuzzy inference systemsIEEE Transactions on Neural Networks, 1993