Collocated actuator/sensor design for shape control of subregions of structures

Michael Krommer; Manfred Nader

doi:10.1117/12.539688

26 July 2004 Collocated actuator/sensor design for shape control of subregions of structures

Michael Krommer, Manfred Nader

Proceedings Volume 5383, Smart Structures and Materials 2004: Modeling, Signal Processing, and Control; (2004) https://doi.org/10.1117/12.539688
Event: Smart Structures and Materials, 2004, San Diego, CA, United States

Abstract

The control of the shape of a sub - region of a structure has many important practical applications; for instance the control of the shape of a conformal antenna that is mounted to the surface of a sub - region of a structure. Given the desired shape of the sub - region one can use self - stress actuators, which only act in the sub - region itself, to implement the required control. However, if the structure is disturbed by external excitations, the actuators have to compensate the additional vibrations too; therefore, also sensors have to be designed. A proper sensor design requires the sensor to be an integrated part of the structure and to be located in the sub - region only. Using self - stress sensors is near at hand; moreover, one may even use the actuators as sensors, resulting in so - called self - sensing actuator / sensor pairs. Clearly, this procedure provides collocation between actuator and sensor automatically, which, from a control point of view, is highly desirable. In the present paper we summarize the design of actuators for the sub - region control of a structure. Then we discuss the design of collocated sensors, their output signal and the application of a PD - control law. We show that the output signal is the natural output of the system and that the closed loop system is stable. Finally, we present numerical results for a beam type structure.

Citation Download Citation

Michael Krommer and Manfred Nader "Collocated actuator/sensor design for shape control of subregions of structures", Proc. SPIE 5383, Smart Structures and Materials 2004: Modeling, Signal Processing, and Control, (26 July 2004); https://doi.org/10.1117/12.539688

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