Towards intelligent PID control
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TLDR
This paper describes some features that may be included in the next generation of PID controllers, which seem technically feasible with the increased computing power that is now available in single-loop controllers.About:
This article is published in Automatica.The article was published on 1992-01-01 and is currently open access. It has received 381 citations till now. The article focuses on the topics: Model predictive control & PID controller.read more
Citations
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Journal ArticleDOI
Model-free control
Michel Fliess,Cédric Join +1 more
TL;DR: Model-free control and the corresponding ‘intelligent’ PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into account.
Journal ArticleDOI
A robust self-tuning scheme for PI- and PD-type fuzzy controllers
Rajani K. Mudi,Nikhil R. Pal +1 more
TL;DR: The proposed self-tuning technique is applied to both PI- and PD-type FLCs to conduct simulation analysis for a wide range of different linear and nonlinear second-order processes including a marginally stable system where even the well known Ziegler-Nichols tuned conventional PI or PID controllers fail to provide an acceptable performance due to excessively large overshoot.
Journal ArticleDOI
Tuning of PID controllers based on gain and phase margin specifications
TL;DR: The results in this paper can be used to predict the achievable rise time of the closed-loop system, which is useful for self-diagnosis—a desirable feature of ‘intelligent’ controllers.
Journal ArticleDOI
PID controllers: recent tuning methods and design to specification
P. Cominos,N. Munro +1 more
TL;DR: A brief summary of PID theory is given, then some of the most-used PID tuning methods are discussed and some the more recent promising techniques are explored.
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An optimal fuzzy PID controller
TL;DR: The constant PID control gains are optimized by using the multiobjective genetic algorithm (MOGA) thereby yielding an optimal fuzzy PID controller, which preserves the same linear structure of the proportional, integral, and derivative parts but has constant coefficient yet self-tuned control gains.
References
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Journal ArticleDOI
Optimum Settings for Automatic Controllers
J. G. Ziegler,N. B. Nichols +1 more
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
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
Paper: Automatic tuning of simple regulators with specifications on phase and amplitude margins
Karl Johan Åström,Tore Hägglund +1 more
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
Refinements of the Ziegler-Nichols tuning formula
TL;DR: It is shown that, for excessive overshoot in the set-point response, set- point weighting can reduce the overshoot to specified values, and the original Ziegler-Nichols tuning formula can be retained, and it is also shown thatSet-point weighting is superior to the conventional solution of reducing large overshoot by gain detuning or set- Point filtering.