Auto-Tuning of Optimal PI Controller Satisfying Sensitivity Value Constrains

Yong Hui Chen; Xiao Hui Zeng; Gong Quan Tan

doi:10.4028/www.scientific.net/AMR.204-210.1938

Paper Titles

Development of Website Quality Dimensions of Home Appliance Enterprises Based on Exploratory Factor Analysis
p.1920

Study on an Inventory Model of Sales System with Multiple Customer Classification
p.1924

Synthesis of Nano-Hydroxyapatite Surface-Grafting Poly(L-Lactide) under Microwave Irradiation
p.1929

Cycle Coloring and 2-Factorizations of K_V
p.1934

Auto-Tuning of Optimal PI Controller Satisfying Sensitivity Value Constrains
p.1938

A Study of Performance Evaluation of Dairy Enterprise Based on Corporate Social Responsibility
p.1944

Research on Performance Evaluation of Companies’ Overseas Offices Based on DEA - The Case of “A” Company’s Overseas Offices
p.1950

Effects of Magnetic Concentrator on MFL Signals Using FEA
p.1956

The Design of Embedded Detecting and Tracking System
p.1960

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 204-210Auto-Tuning of Optimal PI Controller Satisfying...

Auto-Tuning of Optimal PI Controller Satisfying Sensitivity Value Constrains

Abstract:

For a first-order lag process with dead-time models (FOPDT) under step load disturbances, optimal parameters of proportional and integral (PI) controller are obtained through numerical optimization based on minimizing the integrated time and absolute error (ITAE), or maximizing the integral gain. The optimizations are under constrains of sensitivity functions. Then, the tuning formulas for PI controllers are adjusted according to parameters from numerical fittings of optimized values within a large scope of the ratio of the inertia time to the dead-time of processes. Finally, the process information is acquired from closed-loop tests of a two-channel relay and the process is approximately modeled with a FOPDT model in order to achieve parameter auto-tuning of controllers. The approach proposed is proved to be effective according to simulation results.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Pages:

1938-1943

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.204-210.1938

Citation:

Cite this paper

Online since:

February 2011

Authors:

Yong Hui Chen, Xiao Hui Zeng, Gong Quan Tan

Keywords:

Auto-Tuning, FOPDT Model, Optimization, PI Controller, Sensitivity Constraint

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] K J Åström, T Hägglund. Automatic Tuning of Simple Regulators with Specifications on Phase and Amplitude Margins. Automatica, 1984 20(5): 645–651.

DOI: 10.1016/0005-1098(84)90014-1

Google Scholar

[2] C C Hang, K J Åström, Q G Wang. Relay Feedback Auto-tuning of Process Controllers—A Tutorial Review. Journal of Process Control, 2002 12: 143-162.

DOI: 10.1016/s0959-1524(01)00025-7

Google Scholar

[3] Friman M, Waller K V. Two-channel Relay for Auto-tuning. Ind. Eng. Chem. Ref, 1997, 36: 2662-2671.

DOI: 10.1021/ie970013u

Google Scholar

[4] T Tavakoli and P Fleming. Optimal tuning of PI controllers for first order plus dead time/long dead time models using dimensional analysis. Proceeding of the 7th European Control Conf., (2003).

DOI: 10.23919/ecc.2003.7085293

Google Scholar

[5] T Hagglund and K J Astrom. Revisiting the Ziegler-Nichols tuning rules for PI control-Part II: the frequency response method. Asian Journal of Control, 2004, 6(4): 469-482.

DOI: 10.1111/j.1934-6093.2004.tb00368.x

Google Scholar