Title :
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
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;
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
DOI :
10.1109/CACSD-CCA-ISIC.2006.4777053
