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Adaptive process control system

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TLDR
In this article, an adaptive process control system comprises a controller of an I-P type generating a manipulating variable signal with a feed forward circuit responsive to the set point signal r(t), an integrator responsive to a difference between a process variable signal y(t) and set-point signal r (t), and an identification signal generator superposes a persistantly exciting identification signal h(t).
Abstract
An adaptive process control system comprises a controller of an I-P type generating a manipulating variable signal with a feed forward circuit responsive to the set-point signal r(t), an integrator responsive to a difference between a process variable signal y(t) and set-point signal r(t), and a feedback circuit responsive to the process variable signal y(t). An identification signal generator superposes a persistantly exciting identification signal h(t) to the control system. A frequency characteristic identifying circuit receives a discrete controlled data u(k) and y(k), estimates the parameters of the ARMA model by the least square method to identify the pulse transfer function, and obtains the transfer function in the continuous system as the frequency characteristics of gain and phase. A controller parameter calculating circuit calculates the controller parameters of the controller, such as integration gain K, proportional gain fo, and feed forward gain ff, using the frequency characteristics of gain and phase, and the overshoot, gain and phase margins, and attenuation ratio. The controller parameters are supplied via a switch to the controller.

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Citations
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References
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Journal ArticleDOI

Paper: Automatic tuning of simple regulators with specifications on phase and amplitude margins

TL;DR: A simple method for estimating the critical gain and the critical frequency is described, which may be used for automatic tuning of simple regulators as well as initialization of more complicated adaptive regulators.
Journal ArticleDOI

Theory and applications of adaptive control-A survey

Karl Johan Åström
- 01 Sep 1983 - 
TL;DR: It is shown that adaptive control laws can also be obtained from stochastic control theory, and different approaches are discussed with particular emphasis on model reference adaptive systems and self-tuning regulators.
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Predictive model reference adaptive controller

TL;DR: In this paper, an adaptive control subsystem includes adjustable gain feedback or controlloops which are adjusted to make the dynamic system appear to have constant characteristics even when its dynamic characteristics are changing.
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Automatic identification system for self tuning process controller

TL;DR: In this article, a process for automatically identifying the parameters of a controller which controls a process and a process model which includes changing alternately the set point for the process by a predetermined value above and below the desired set point of the process which is continued until the parameter change between adjacent cycles is less than a predetermined amount.
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Process control apparatus

TL;DR: In this paper, a process control apparatus comprises a main controller (22) having a first integrator (32) for integrating a difference signal between a set point and an output of a process and a PD (proproproional-derivative) arithmetic operating unit (34) for executing the PD arithmetic operation for the output of the process.