Intelligent double integral sliding-mode control for five-degree-of-freedom active magnetic bearing system

F. J. Lin, Syuan-Yi Chen, M. S. Huang

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

This study presents a decentralised intelligent double integral sliding-mode control (IDISMC) system, which consists of five IDISMCs, to regulate and stabilise a fully suspended five-degree-of-freedom (DOF) active magnetic bearing (AMB) system. The system structure and drive system with differential driving mode (DDM) are introduced first. Then, the decoupled dynamic model of the five-DOF AMB is analysed for the design of the decentralised control. Moreover, a decentralised integral sliding-mode control (ISMC) system is designed based on the decoupled dynamic model to control the five-DOF AMB considering the existences of the uncertainties. Furthermore, since the control characteristics of the five-DOF AMB are highly non-linear and time varying, the decentralised IDISMC system is proposed to further improve the control performance of the five-DOF AMB. In each IDISMC, the adopted double integral sliding surface reinforces the control law with the integral (I) control feature. In addition, the control gains of the IDISMC can be adjusted on-line and the system uncertainty can also be observed simultaneously by using of a modified proportional-integral-derivative neural network (MPIDNN) observer. Thus, the proposed IDISMC combines the merits of the ISMC, adaptive control and neural network (NN). Finally, the experimental results illustrate the validities of the proposed control systems using various operating conditions.

Original languageEnglish
Pages (from-to)1287-1303
Number of pages17
JournalIET Control Theory and Applications
Volume5
Issue number11
DOIs
Publication statusPublished - 2011 Jul 21

Fingerprint

Active Magnetic Bearing
Double integral
Magnetic bearings
Sliding mode control
Sliding Mode Control
Degree of freedom
Control System
Decentralized
Control systems
Dynamic models
Dynamic Model
Neural Networks
Neural networks
Uncertainty
Decentralized control
Decentralized Control
Gain control
Adaptive Control
Observer
Time-varying

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Intelligent double integral sliding-mode control for five-degree-of-freedom active magnetic bearing system. / Lin, F. J.; Chen, Syuan-Yi; Huang, M. S.

In: IET Control Theory and Applications, Vol. 5, No. 11, 21.07.2011, p. 1287-1303.

Research output: Contribution to journalArticle

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