Journal ArticleDOI
A Method for Auto-Tuning of PID Control Parameters
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TLDR
A new type of performance index, i.e., a weighted integral of squared error is introduced and is implemented on a small size digital controller and applied to some real processes, yielding satisfactory results.About:
This article is published in IFAC Proceedings Volumes.The article was published on 1981-08-01. It has received 23 citations till now. The article focuses on the topics: PID controller & Automatic control.read more
Citations
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Journal ArticleDOI
Self-tuning PID controllers: Algorithms and implementation
TL;DR: A class of controllers with integral action is shown to arise directly from appropriate system models via the zero-gain predictor approach, and a corresponding class of hybrid self-tuning controllers are shown to have both integral action in the controller and offset removal in the tuning algorithm.
Journal ArticleDOI
Direct Methods for Self-Tuning PID Regulators
Cs. Bányász,László Keviczky +1 more
TL;DR: Two algorithms are presented for self-tuning PID regulators based on the explicit identification of a second order process model with time delay and an explicit formula ensuring prescribed overshoot of the process output.
Book ChapterDOI
Self-Tuning and Adaptive Control
TL;DR: The background to many current approaches to self-tuning design which are based on a Generalised Minimum Variance strategy are described and a new method called Generalised Predictive Control is shown to overcome the need to know the plant’s dead-time.
Journal ArticleDOI
An Adaptive PID Regulator Dedicated for Microprocessor Based Compact Controllers
TL;DR: A very simple class of adaptive PID regulators, where the the method is based on the explicit identification of the process and a design equation is used ensuring 5% overshoot in the step response.
Journal ArticleDOI
Paper: State-of-the-art and prospects of adaptive systems
A. A. Voronov,V. Yu. Rutkovsky +1 more
TL;DR: The paper attempts to review methods of design analysis and synthesis of adaptive systems (AS).
References
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Journal ArticleDOI
On self tuning regulators
TL;DR: In this paper, the problem of controlling a system with constant but unknown parameters is considered and an algorithm obtained by combining a least squares estimator with a minimum variance regulator computed from the estimated model is analyzed.
Journal ArticleDOI
Advanced methods of process computer control for industrial processes
TL;DR: This paper discusses first how process models in open and closed loop can be obtained by on-line identification methods, and based on these models, the computer aided design of control algorithms, adaptive control algorithms and adaptive steady-state on-lines optimization will be regarded.