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Proceedings ArticleDOI

A numerical-based fuzzy PID controller applied to a DC drive

TLDR
A novel and more robust controller is proposed, viz a numerical-based fuzzy PID controller or extremities PID controller, which combines classical PID concepts with fuzzy arithmetics.
Abstract
The employment of PID controllers for automated processes has been widely accepted in industry. The main problems associated with classical PID controllers are tuning and robustness in case of changes in system conditions. In this paper, a novel and more robust controller is proposed, viz a numerical-based fuzzy PID controller or extremities PID controller, which combines classical PID concepts with fuzzy arithmetics. For the purpose of investigating the basic performance of the newly developed controller, two laboratory-scale plants are used, viz a simple series RLC network and a microcomputer-based dual-converter DC drive. Experimental results, including comparisons with a classical PID controller, are also presented. >

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Citations
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Journal ArticleDOI

PMSM Position Control with a SUI PID Controller

TL;DR: In this article, the application of a SUI PID controller for permanent magnet (PM) drive systems is introduced and simulation of the system model is carried out to predict the performance at no load and under load.

Adaptive Fuzzy Logic Controllers for DC Drives: A Survey of the State of the art JES

TL;DR: This paper presents a comprehensive review of FLC in the field of Direct Current (DC) motor drive systems, citing limitations as well as the advancements in solving them through, for example, the genetic algorithms and the neural networks techniques.
Proceedings ArticleDOI

The interval based control technique: controlling physical systems through imprecise models

TL;DR: To illustrate the method, a successful application (crane motion control), using the interval based control technique has been presented, and the experimental results shown.
Proceedings ArticleDOI

The interval based control: a new approach

M.M. Lamego, +1 more
TL;DR: In this article, a novel non-conventional control technique, namely "interval based control", is presented, where the objective is the automatic control of physical systems represented by imprecise mathematical models.
References
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Journal ArticleDOI

An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller

TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
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.
Journal ArticleDOI

Application of fuzzy algorithms for control of simple dynamic plant

TL;DR: In this article, the authors describe a scheme in which a fuzzy algorithm is used to control plant, in this case, a laboratory-built steam engine, implemented as an interpreter of a set of rules expressed as fuzzy conditional statements.

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.
Book

Control of Electrical Drives

TL;DR: In this paper, the authors describe the motion of a drive with Lumped Inertia and two Axes Drive in Polar Coordinates, and the integration of the simplified Equation of Motion.
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