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Hybrid model-predictive-control for mechanical system with backlash

  • Ling Xun Dong*
  • , Li Hua Dou
  • , Jie Chen
  • , Yuan Qing Xia
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The hybrid model-predictive-control for mechanical system with backlash is studied. The operation model of a mechanical system with backlash is distinguished into the"backlash mode"and the"contact mode", and a piecewise affine(PWA) model of the mechanical system with backlash is built. For controlling this constrained PWA system, the optimal control law is derived by using the model predictive control(MPC) method; the offline solution of which is obtained by using the dynamic programming and the multi-parametric quadratic programming method. Finally, a piecewise quadratic(PWQ) Lyapuno function for the stability of the closed-loop system is found by transforming its searching process to a semi-definite programming. Experiments in tracking a reference speed signal demonstrate that the hybrid MPC gives desirable performances for the mechanical system with backlash, satisfying the real-time control requirements for systems with small sampling time.

Original languageEnglish
Pages (from-to)1378-1382
Number of pages5
JournalKongzhi Lilun Yu Yingyong/Control Theory and Applications
Volume26
Issue number12
StatePublished - Dec 2009
Externally publishedYes

Keywords

  • Backlash mode
  • Dynamic programming
  • Hybrid model predictive control
  • PWA model

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