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Remote computer control of an industrial process

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3 Author(s)
Choquette, P. ; Polymer Corporation, Ontario, Canada ; Noton, A.R.M. ; Watson, C.A.G.

The development of a nonlinear dynamic model of an industrial process is summarized. The model includes additive stochastic terms and not all the state variables were accessible. Nonlinear state estimation was approximated by a linearized Kalman filter and the control algorithm was from dynamic programming. The development of software and hardware for a remote on-line computer control experiment is then described, in which the industrial plant was connected to a process control computer some 130 miles away by a regular telephone channel.

Published in:

Proceedings of the IEEE  (Volume:58 ,  Issue: 1 )