Uncertainty modeling and robust control of an experimental two tank system

Author(s):  
Esref Eskinat ◽  
Daghan Candir
Automatica ◽  
2000 ◽  
Vol 36 (10) ◽  
pp. 1457-1467 ◽  
Author(s):  
T. Asai ◽  
S. Hara ◽  
T. Iwasaki

2008 ◽  
Vol 144 ◽  
pp. 22-26 ◽  
Author(s):  
Arkadiusz Mystkowski ◽  
Zdzisław Gosiewski

Stabilization of a plant in case of uncertainty parameters and unmodeled dynamics are the main problems considered in this paper. A robust control of motion of a rigid shaft that is supported by magnetic bearings was used as an example. The dynamics of the active magnetic suspension system is characterized by instability and uncertainty. The uncertainty is modeled as an additive and multiplicative. Robust controller H∞ was designed for the defined plant with the uncertainty models. The robust controller assures high quality of control despite the uncertainty models. Robust control of vibrations of a rigid rotor is confirmed by experimental studies. A digital signal processor is used to execute the control algorithm in real time.


2001 ◽  
Vol 40 (8) ◽  
pp. 1916-1927 ◽  
Author(s):  
Rajanikanth Vadigepalli ◽  
Edward P. Gatzke ◽  
Francis J. Doyle
Keyword(s):  

2019 ◽  
Vol 4 (10) ◽  
pp. 155-161
Author(s):  
Amalia John Moutsopoulou ◽  
Georgios E. Stavroulakis ◽  
Tasos D. Pouliezos

In light of past research in this field, this paper intends to discuss some innovative approaches in vibration control of smart structures, particularly in the case of structures with embedded piezoelectric materials. In this work, we review the principal problems in mechanical engineering that the structural control engineer has to address when designing robust control laws: structural modeling techniques, uncertainty modeling, and robustness validation under stochastic excitation. Control laws are desirable for systems where guaranteed stability or performance is required despite the presence of multiple sources of uncertainty.


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