Title: The design and simulation of networked control systems with online extreme learning machine PID
Authors: Haichen Yu; Cheng Shao; Desheng Zhou
Addresses: Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China ' Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China ' Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China
Abstract: Network-based control systems (NCSs) for industrial processes recently have been paid much more attention. However, the control engineers must face to an unavoidable problem of whether or not the traditional proportional-integral-derivative (PID) controller for the network case is available. More specifically, how to design PID controller in the presence of the network-induced time-varying delay? In this paper, an online extreme learning machine-based PID controller is proposed, where the Jacobian information relating to online extreme learning machine is identified, and then is used to adjust the PID parameters. Lastly, a simulation using TrueTime blocks in a Simulink/MATLAB box is given, and it is observed that the closed loop system has good dynamic and adaptive performance.
Keywords: networked control systems; NCSs; online extreme learning machine; OELM; proportional-integral-derivative; PID control; TrueTime; identification; controller design; simulation.
International Journal of Modelling, Identification and Control, 2013 Vol.20 No.4, pp.337 - 343
Available online: 13 Nov 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article