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Linear time‐varying control of the vibrations of flexible structures
Author(s) -
Zidane Imed,
Marinescu Bogdan,
AbbasTurki Mohamed
Publication year - 2014
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2013.1118
Subject(s) - control theory (sociology) , gain scheduling , scheduling (production processes) , linear system , computer science , vibration control , vibration , mathematics , control (management) , mathematical optimization , physics , artificial intelligence , mathematical analysis , quantum mechanics
Recent results on pole placement for linear time‐varying (LTV) systems are exploited here for the control of flexible structures. The infinite‐dimensional system is approached as usual by a restricted number of modes of interest, according to the frequency range in which the system is exploited. The difference with the previous approaches (e.g. gain scheduling) is that only one finite dimension linear model is used and its parameters (frequency and damping of the modes) are varying according to the operating conditions. The control model is thus LTV and a regulator is analytically synthesised to ensure closed‐loop stability and performances. This regulator is also LTV and thus automatically (without any special switching action) tracks the operating conditions of the system. The case of a flexible beam is studied in simulation as well as in the laboratory experimentation. Hence, a suitable application of the proposed LTV synthesis is done to find a compromise between the complexity of interpolation and its efficiency. Furthermore, the bad dissipation factor of flexible systems leads them to be good candidates to proof the efficiency of the proposed gain scheduling strategy. This work validates on a real system the LTV pole placement approach and opens the way to a new gain scheduling strategy for the control of LTV, non‐linear or infinite‐dimensional systems.

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