The design of neuron-PID controller for a class of networked control system under data rate constraints

  • Authors:

  • Lixiong Li;Rui Ming;Minrui Fei

  • Affiliations:

  • School of Mechanical Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, P.R. China;School of Mechanical Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, P.R. China;School of Mechanical Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, P.R. China

  • Venue:
  • LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
  • Year:
  • 2010

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Abstract

In networked control system where control loop is closed over communication network, limited data rate may deteriorate control performance even destabilize the control system. In this paper, for a second-order control system closed over typical control networks, performance analysis with data rate constraints is conducted and Critical Data Rate (CDR) is explored. Furthermore, under the circumstances that CDR is available, Neuron-PID controller with Smith predictor is employed to eliminate the negative influence cause by communication network. Finally, case study is provided and acceptable control performance can be guaranteed with this design methodology.