Self-tuning control of dual-rate systems with input nonlinearities

  • Authors:
  • Yongsong Xiao;Huibo Chen;Jiyang Dai;Feng Ding

  • Affiliations:
  • Control Science and Engineering Research Center, Jiangnan University, Wuxi, P. R. China;Control Science and Engineering Research Center, Jiangnan University, Wuxi, P. R. China;Key Laboratory of Nondestructive Test, Nanchang, Nanchang Hangkong University, P.R. China;Control Science and Engineering Research Center, Jiangnan University, Wuxi, P. R. China

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

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Abstract

A polynomial transformation technique is used to obtain a model for a dual-rate nonlinear system in which the output sampling interval is an integer multiple of the control interval. Based on this model, a self-tuning control algorithm is presented by minimizing output tracking error criteria from directly the dual-rate measurement data. The self-tuning algorithm proposed can achieve virtually asymptotically optimal control and ensure the closed-loop system to be stable and globally convergent. The proposed algorithm is illustrated by examples.