Fuzzy immune control and new smith predictor for wireless networked control systems

  • Authors:
  • Feng Du;Wencai Du

  • Affiliations:
  • College of Information Sciences & Technology, Hainan University, Haikou;College of Information Sciences & Technology, Hainan University, Haikou

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
  • Year:
  • 2009

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Abstract

To aim at time-variant or uncertain network delay in the wireless networked control systems (WNCS), as well as Smith predictor model and real model of the controlled plant might be mismatch, a new Smith dynamic predictor combined with fuzzy immune control is proposed. Because new Smith dynamic predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated on-line. It is applicable to some occasions that wireless network delay is random, time-variant or uncertain, possibly large compared to one, even tens sampling periods, at the same time, there are some data dropouts in closed loop. Based on IEEE 802.15.4 (ZigBee), the results of simulation show validity of the control scheme, and indicate that system has better dynamic performance and robustness.