Robust autotuning of industrial regulators based on complex process models: The DIMC approach

Author

Leva, Alberto ; Schiavo, Francesco

Author_Institution

Dipt. di Electronica e Informazione, Politecnico di Milano, Milan

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

2629

Lastpage

2634

Abstract

This manuscript presents an innovative approach to the (auto)tuning of industrial feedback regulators based on arbitrarily complex linear time invariant (LTI) process models. The presented technique allows to assess the robustness properties of the obtained control system, and greatly reduces the influence of the particular model identification method used on the tuning results. A single design parameter, bounds for which can be derived objectively, allows to trade performance versus stability degree in an easily interpreted way; in addition, the tuning results can be reliably forecast. After treating the matter from a theoretical standpoint, simulations are reported to illustrate the potentialities of the proposed approach

Keywords

controllers; feedback; robust control; complex process models; industrial feedback regulator autotuning; linear time invariant; reliably forecast; robust autotuning; single design parameter; stability; trade performance; Computer industry; Control system synthesis; Electrical equipment industry; Industrial control; Linear feedback control systems; Regulators; Robust control; Robustness; Stability; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE

Conference_Location

Munich

Print_ISBN

0-7803-9797-5

Electronic_ISBN

0-7803-9797-5

Type

conf

DOI

10.1109/CACSD-CCA-ISIC.2006.4777053

Filename

4777053