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Journal ArticleDOI

An expert system to perform on-line controller tuning

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TLDR
An expert system that tunes a proportional-integral-derivative (PID) controller online for a single-input-single-output multiple-lag process with dead time is described.
Abstract
An expert system that tunes a proportional-integral-derivative (PID) controller online for a single-input-single-output multiple-lag process with dead time is described. The expert system examines features of each transient response and the corresponding controller parameters. It determines a new set of controller gains to obtain a more desirable time response. This technique can be used to determine and implement a different set of PID gains for each operating regime, and once in steady state, the system can be used to find optimal parameters for load disturbance rejection. The expert system can be applied to any system of the specified form (aerospace, industrial, etc.) and can be expanded to include additional process models. >

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Citations
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Journal ArticleDOI

Intelligent systems in process engineering : A review

TL;DR: The purpose of this review is to sketch the directions that research and industrial applications of “intelligent systems” have taken in several areas of process engineering, and identify the emerging trends in each area, as well as the common threads that cut across several domains of inquiry.
Journal ArticleDOI

Real-time gain tuning of PI controllers for high-performance PMSM drives

TL;DR: In this article, a real-time gain-tuning method for proportional plus integral (PI) controllers has been formulated and implemented, using the speed control of a permanent magnet synchronous motor drive system as a testbed.
Journal ArticleDOI

Tuning of PID-type controllers for stable and unstable systems with time delay

TL;DR: A graphical technique for tuning PID-type controllers based on the method of D-partition, which can be used to tune a precompensator, in a two degree of freedom structure, so as to improve tracking behaviour.
Proceedings ArticleDOI

Self-tuning of PID controllers by adaptive interaction

TL;DR: A new self-tuning or adaptation algorithm for PID controllers based on a theory of adaptive interaction that achieves the tuning objective by minimizing an error function is proposed.
Journal ArticleDOI

Fuzzy controller: design, evaluation, parallel and hierarchical combination with a PID controller

TL;DR: The proposed fuzzy supervisor leads to promising results concerning the development of combined control structures and the comparison with a PID algorithm is a base for the design of the parallel PID-fuzzy controllers combination.
References
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Journal ArticleDOI

Optimum Settings for Automatic Controllers

TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect and corresponding units for a classification of industrial processes in terms of two principal characteristics affecting their controllability.

Optimum Settings for Automatic Controllers

J. G. Ziegler
TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect.
Journal ArticleDOI

Incremental fuzzy expert PID control

TL;DR: An approach to intelligent PID (proportional integral derivative) control of industrial systems which is based on the application of fuzzy logic is presented, and it is possible to determine small changes on these values during the system operation, and these lead to improved performance of the transient and steady behavior of the closed-loop system.
Proceedings ArticleDOI

Quadratic weights for asymptotic regulator properties

TL;DR: In this paper, a new procedure for selecting weighting matrices in linear-quadratic optimal control designs is described based on asymptotic modal characteristics of multivariable LQ-regulators as control weights tend to zero.
Journal Article

Tuning controllers with error-integral criteria

TL;DR: The 1/4 DECAY RATIO as discussed by the authors is used as a measure of good control in the control of a control system, but it often focuses on just two points in the system response curve.