Anti-reset Windup Research Articles

Anti-reset Windup for PID Controllers

This paper describes and compares a number of ways of avoiding integrator windup for proportional-integral-derivative (PID) controllers. It covers both a number of ad hoc schemes and a general procedure to avoid windup, which admits a unification of the ideas. Design rules for anti-wind up in general purpose PID controllers are derived and tested in simulations and experiments.

Feedback control of chemical processes using on-line optimization techniques

The objective of this research is to develop tools for feedback control and sensitivity analysis of systems modelled by nonlinear differential-algebraic equations. Features of this novel approach include: direct use of nonlinear models without linearization, the ability to handle multiple inputs and outputs without pairing, and the ability to handle input and output constraints without complicated anti-reset windup logic. In the model-predictive control framework, an optimal control policy for the nominal plant is determined using a simultaneous optimization and model solution approach. The sensitivity of the optimal solution with respect to the model parameters is also computed. The feedback from the measurements is used to update the important process model parameters and output disturbances. The optimal profile is then recomputed for the updated model. Confidence intervals can also be placed on the optimal control profiles by considering second-order variations in the Lagrangian. This approach will be illustrated with several examples including: batch and continuous chemical reactors, and a batch crystallizer, which demonstrates the method on a nonlinear, distributed parameter system.

Theory as a Part of the Low Cost Automation Control

To implement control systems at a low cost it is important that suitable tools are available to analyze the system and to make the design. In this paper some of the available theoretical and engineering tools are discussed. To solve a control problem it is, in general, necessary to go through the following steps: modeling, analysis, design, and implementation. Some theoretical problems and enegineering aspects of the different subproblems are discussed. It is argued that good tools for computer aided control enegineering are crucial for the design and understanding. This is especially important in low cost automation, where only limited resources are available for the design process. Special emphasis is given to some theoretical issues in connection with computer implementation of control systems. Problems such as anti-reset windup, anti-aliasing, and numerics are discussed in the paper.

Self Tuning Controller Based on Robust Estimation and Adaptive Sampling

In this paper we supposed that real industrial processes can be modeled by low-pass filter. For model of the process we used the Butter- worth filter. In such case algorithm for parameters estimation is very simple and only is need estimate two parameters: gam and cut-off frequency of the filter. Further supposed that disturbance is stochastic. In engineering practice assumption about exactly known distribution of disturbances is never fulfiled owing present of outliers in observations. In that case we use Huber's min-max approuch for construction robust recursive algorithm. Algorithm includes: filtering of data; data normalization; variable forgeting factor which maintains the trace of coveriance matrix; scaling of the regressar vector. Using pole placement methodology we get self-tuning controller. Very important characteristics of the controller, from the application point of view, are anti-reset windup possbility and adaptive sampling.

Two-point control of temperature profile in tissue.

A strategy for controlling the temperature profile in the tissue with a single applicator hyperthermia system is described. By manipulating the cooling water temperature as well as the heating power, the tissue temperatures in two selected locations can be controlled. By proper choice of these two locations and the corresponding temperature set-points, a temperature maximum can be obtained in a fairly superficial tumour. If the tissue composition and consequently the temperature distribution is fairly regular, a temperature profile above 43 degrees C in the tumour and below that in normal tissue can be obtained along an axis perpendicular to the surface. The controller is self-tuning and provides dynamic decoupling, bumpless transfer and anti-reset windup. Test of the controller by simulation and on a phantom indicates it is superior to the single point controller currently used.

Stability analysis of single loop control systems with saturation and antireset-windup circuits

Reset-windup appears when regulators with integral action are used with saturating actuators. Antireset-windup (ARW) circuits are in practice used in most standard control equipment today. Their design is based on intuition and simulation. This paper presents analysis of systems with ARW circuits based on nonlinear stability theory. The analysis gives possibilities to compare the performance of different ARW circuits. It predicts the system response adequately without need for extensive simulations.

Optimal control of primary coolant temperature in a nuclear plant

Optimal control theory is applied to the design of a temperature controller for the primary coolant in a nuclear power plant. The optimal control law is obtained via orthogonal transformations applied to an augmented system consisting of models of the plant and measurable disturbances and a reference model to follow. Divergent oscillations caused by velocity limits of the actuator are suppressed by a new anti-reset windup device. Performances and robustness of this control system are examined and shown to be superior to that of other existing or proposed controllers.

Design of an Optimal Temperature Controller in a Nuclear Power Plant

The objective of the paper is the design of a temperature controller in a nuclear power plant. First, a linear quadratic optimal control law is calculated via Chandrasekhar equations, applied to an augmented system consisting of models of the plant and measurable disturbances and of a reference model the dynamics of which prescribes the transient behavior of the closed-loop system. Then, an anti-reset windup scheme is introduced for compensating the saturation nonlinearity in the actuator. Combination of both results in transient responses which are practically independent of the am-plitude of disturbances. Performances and robustness of the control system are tested via simulation.

Experimental Evaluation of Digital Algorithms for Antireset Windup

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTExperimental Evaluation of Digital Algorithms for Antireset WindupJawahar Khandheria and William L. LuybenCite this: Ind. Eng. Chem. Process Des. Dev. 1976, 15, 2, 278–285Publication Date (Print):April 1, 1976Publication History Published online1 May 2002Published inissue 1 April 1976https://doi.org/10.1021/i260058a012RIGHTS & PERMISSIONSArticle Views77Altmetric-Citations6LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (752 KB) Get e-Alerts