A PID autotuner utilizing GPC and constraint optimization

Arne Henningsen; Anders Christensen; Ole Ravn

doi:10.1109/CDC.1990.203857

A PID autotuner utilizing GPC and constraint optimization

Arne Henningsen, Anders Christensen, Ole Ravn

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

744 Downloads (Pure)

Abstract

A solution to the PID autotuning problem is presented which involves constraining the parameters of a discrete second-order discrete-time controller. The integrator is forced into the regulator by using a CARIMA model. The discrete-time regulator parameters are calculated by optimizing a generalized predictive control criterion, and the PID structure is ensured by constraining the parameters to a feasible set defined by the discrete-time Euler approximation of the ideal continuous-time PID controller. The algorithm is extended by incorporating constraints on the amplitude and slew-rate of the control signal. Simulation studies for a system of coupled tanks have indicated that the method performs well, and that signal limitations can be included in a straightforward manner

Original language	English
Title of host publication	Proceedings of the 29th IEEE Conference on Decision and Control
Volume	Volume 3
Publisher	IEEE
Publication date	1990
Pages	1475-1480
DOIs	https://doi.org/10.1109/CDC.1990.203857
Publication status	Published - 1990
Event	29th IEEE Conference on Decision and Control - Honolulu, HI, United States Duration: 5 Dec 1990 → 7 Dec 1990 Conference number: 29

Conference

Conference	29th IEEE Conference on Decision and Control
Number	29
Country/Territory	United States
City	Honolulu, HI
Period	05/12/1990 → 07/12/1990

Bibliographical note

Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Access to Document

10.1109/CDC.1990.203857

RavnFinal published version, 576 KB

OpenUrl availability

Full text

Cite this

@inproceedings{17274383b5df496c827f65ca61bbb3e5,

title = "A PID autotuner utilizing GPC and constraint optimization",

abstract = "A solution to the PID autotuning problem is presented which involves constraining the parameters of a discrete second-order discrete-time controller. The integrator is forced into the regulator by using a CARIMA model. The discrete-time regulator parameters are calculated by optimizing a generalized predictive control criterion, and the PID structure is ensured by constraining the parameters to a feasible set defined by the discrete-time Euler approximation of the ideal continuous-time PID controller. The algorithm is extended by incorporating constraints on the amplitude and slew-rate of the control signal. Simulation studies for a system of coupled tanks have indicated that the method performs well, and that signal limitations can be included in a straightforward manner",

author = "Arne Henningsen and Anders Christensen and Ole Ravn",

note = "Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 29th IEEE Conference on Decision and Control ; Conference date: 05-12-1990 Through 07-12-1990",

year = "1990",

doi = "10.1109/CDC.1990.203857",

language = "English",

volume = "Volume 3",

pages = "1475--1480",

booktitle = "Proceedings of the 29th IEEE Conference on Decision and Control",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - A PID autotuner utilizing GPC and constraint optimization

AU - Henningsen, Arne

AU - Christensen, Anders

AU - Ravn, Ole

N1 - Conference code: 29

PY - 1990

Y1 - 1990

N2 - A solution to the PID autotuning problem is presented which involves constraining the parameters of a discrete second-order discrete-time controller. The integrator is forced into the regulator by using a CARIMA model. The discrete-time regulator parameters are calculated by optimizing a generalized predictive control criterion, and the PID structure is ensured by constraining the parameters to a feasible set defined by the discrete-time Euler approximation of the ideal continuous-time PID controller. The algorithm is extended by incorporating constraints on the amplitude and slew-rate of the control signal. Simulation studies for a system of coupled tanks have indicated that the method performs well, and that signal limitations can be included in a straightforward manner

AB - A solution to the PID autotuning problem is presented which involves constraining the parameters of a discrete second-order discrete-time controller. The integrator is forced into the regulator by using a CARIMA model. The discrete-time regulator parameters are calculated by optimizing a generalized predictive control criterion, and the PID structure is ensured by constraining the parameters to a feasible set defined by the discrete-time Euler approximation of the ideal continuous-time PID controller. The algorithm is extended by incorporating constraints on the amplitude and slew-rate of the control signal. Simulation studies for a system of coupled tanks have indicated that the method performs well, and that signal limitations can be included in a straightforward manner

U2 - 10.1109/CDC.1990.203857

DO - 10.1109/CDC.1990.203857

M3 - Article in proceedings

VL - Volume 3

SP - 1475

EP - 1480

BT - Proceedings of the 29th IEEE Conference on Decision and Control

PB - IEEE

T2 - 29th IEEE Conference on Decision and Control

Y2 - 5 December 1990 through 7 December 1990

ER -

A PID autotuner utilizing GPC and constraint optimization

Abstract

Conference

Bibliographical note

Access to Document

OpenUrl availability

Fingerprint

Cite this