Uncertainty Modeling and Robust Control for Smart Structures

2010 ◽  
pp. 331-356
Author(s):  
A. Moutsopoulou ◽  
G. E. Stavroulakis ◽  
A. Pouliezos
Keyword(s):  
Robust Control ◽  
Smart Structures ◽  
Uncertainty Modeling

scholarly journals Identification of Smart Structures with Robust Control under Stochastic Excitation

2019 ◽  
Vol 4 (10) ◽  
pp. 155-161
Author(s):  
Amalia John Moutsopoulou ◽  
Georgios E. Stavroulakis ◽  
Tasos D. Pouliezos
Keyword(s):  
Robust Control ◽  
Structural Control ◽  
Piezoelectric Materials ◽  
Smart Structures ◽  
Uncertainty Modeling ◽  
Past Research ◽  
Stochastic Excitation ◽  
Multiple Sources ◽  
Control Laws ◽  
Guaranteed Stability

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.

A Review of H∞ Robust Control of Piezoelectric Smart Structures

2008 ◽  
Vol 61 (4) ◽  
Author(s):  
Lucian Iorga ◽  
Haim Baruh ◽  
Ioan Ursu
Keyword(s):  
Robust Control ◽  
Structural Control ◽  
Smart Structures ◽  
Uncertainty Modeling ◽  
Order Reduction ◽  
Multiple Sources ◽  
Control Laws ◽  
Guaranteed Stability ◽  
Modeling Techniques ◽  
Substantial Interest

Robust vibration control of piezoelectric actuated smart structures has attracted substantial interest in recent years. Such control laws are desirable for systems where guaranteed stability or performance is required despite the presence of multiple sources of uncertainty. In this work, we review the principal problems that the structural control engineer has to address when designing robust control laws: structural modeling techniques, uncertainty modeling, controller order reduction, and robustness validation. A comprehensive literature review is presented and the different techniques employed are discussed in detail in a tutorial manner for the case of a piezoelectric smart plate, with the aim of providing a comprehensive and unitary methodology for designing and validating robust H∞ controllers for active structures.

Uncertainty Modeling in Robust Control of Active Magnetic Suspension

2008 ◽  
Vol 144 ◽  
pp. 22-26 ◽  
Author(s):  
Arkadiusz Mystkowski ◽  
Zdzisław Gosiewski
Keyword(s):  
Robust Control ◽  
Digital Signal Processor ◽  
Experimental Studies ◽  
Uncertainty Modeling ◽  
Digital Signal ◽  
Magnetic Suspension ◽  
Robust Controller ◽  
Quality Of Control ◽  
Uncertainty Parameters ◽  
Uncertainty Models

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.

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