Predictive PID control: New algorithm

被引：0

作者：

Moradi, MH ^{[1
]}

Katebi, MR ^{[1
]}

Johnson, MA ^{[1
]}

机构：

[1] Univ Strathclyde, Ind Control Ctr, Glasgow G1 1QE, Lanark, Scotland

来源：

IECON'01: 27TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3 | 2001年

关键词：

PID control design; predictive control; parallel PID structure;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is concerned with the design of PID controllers, which have similar features to the model-based predictive controller. A PID type control structure is defined which includes prediction of the output and the recalculation of new set point using the future set point data. The optimal values of the PID gains are calculated using the values of gains calculated using unconstrained generalised predictive control algorithm. It is also shown that the system stability can be reached for general second and third order systems. Simulation studies demonstrate the performance of the proposed controller and the results are compared with conventional and generalised predictive control solutions.

引用

页码：764 / 769

页数：2

共 50 条

[31] Automotive Adaptive Headlamp Predictive Control Algorithm Design
Huan, Li
Chao, Li
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 1629 - 1632
[32] An algorithm using predictive control theory for automatic drive
Liu, J
Lan, H
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 1601 - 1604
[33] Predictive control algorithm for spacecraft rendezvous hovering phases
Gilz, P. R. Arantes
Louembet, C.
2015 EUROPEAN CONTROL CONFERENCE (ECC), 2015, : 2085 - 2090
[34] An adaptive predictive control algorithm based on Hammerstein models
Li, SF
Qian, J
Chen, ZB
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 3190 - 3194
[35] Adaptive neural network model based predictive control of an internal combustion engine with a new optimization algorithm
Wang, SW
Yu, DL
Gomm, IB
Page, GF
Douglas, SS
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2006, 220 (D2) : 195 - 208
[36] PID, PREDICTIVE AND FUZZY TEMPERATURE CONTROL FOR NUCLEAR-MAGNETIC-RESONANCE SPECTROSCOPY EXPERIMENTS
GROSSI, P
SCATTOLINI, R
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 1991, 5 (06) : 375 - 394
[37] Improved Transient Response of Digitally Controlled Buck Converter Employing Predictive PID Control
Tomita, H.
Kuroki, T.
Sato, T.
Nabeshima, T.
Nishijima, K.
INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2012,
[38] Design of a hydraulic force control system using a generalised predictive control algorithm
Wu, G
Sepehri, N
Ziaei, K
IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 1998, 145 (05): : 428 - 436
[39] Algorithm selection for the predictive model in control systems with incompletely observable control coordinate
Kobzev, A. A.
Novikova, N. A.
Lekareva, A. V.
XII INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2016, (INTELS 2016), 2017, 103 : 426 - 431
[40] Study of networked control systems based on implicit generalized predictive control algorithm
Han, Pu
Li, Chao
Dong, Ze
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 4301 - 4306

← 1 2 3 4 5 →