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Self‐Tuning PI Control Using Adaptive PSO of a Web Transport System with Overlapping Decentralized Control
Author(s) -
Nishida Takeshi,
Sakamoto Tetsuzo,
Giannoccaro Nicola Ivan
Publication year - 2013
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22366
Subject(s) - particle swarm optimization , pid controller , controller (irrigation) , computer science , estimator , decentralised system , control theory (sociology) , coupling (piping) , basis (linear algebra) , control system , adaptive control , control engineering , control (management) , engineering , mathematics , algorithm , artificial intelligence , temperature control , mechanical engineering , agronomy , statistics , geometry , electrical engineering , biology
Abstract Web transport systems for transporting films, textile material, paper, etc., are usually large‐scale systems. The velocity and the tension of the web are controlled by dividing the systems into several subsystems in which strong coupling exists between the velocity and tension control. A self‐tuning PI (STPI) controller with an estimator based on a novel adaptive particle swarm optimization method is constructed, and it is applied for controlling an actual web transport system. The controllers are designed on the basis of the methodology of the overlapping decentralized control by taking into consideration online executions performed by a general computer. The effectiveness of the constructed control system is verified on the basis of several experimental results obtained by using an actual experimental web transport system. © 2013 Wiley Periodicals, Inc. Electr Eng Jpn, 184(1): 56–65, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.22366