Spatial control of a smart beam

Kircali, Omer Faruk
Yaman, Yavuz
Nalbantoglu, Volkan
Şahin, Melin
Karadal, Fatih Mutlu
Ulker, Fatma Demet
This study presents the design and implementation of a spatial H(infinity) controller for the active vibration control of a smart beam. The smart beam was modeled by assumed-modes method that results in a model including large number of resonant modes. The order of the model was reduced by direct model truncation and the model correction technique was applied to compensate the effect of the contribution of the out of range modes to the dynamics of the system. Additionally, spatial identification of the beam was performed, by comparing the analytical and experimental system models, in order to determine the modal damping ratios of the smart beam. Then, the spatial H(infinity) controller was designed and implemented to suppress the first two flexural vibrations of the smart beam.


Application of spatial H-infinity control technique for active vibration control of a smart beam
Kircali, Oemer Faruk; Yaman, Yavuz; Nalbantoglu, Volkan; Şahin, Melin; Karadal, Fatih Mutlu (2007-05-12)
This study presents the design and implementation of a spatial H-infinity controller for the active vibration control of a cantilevered smart beam. The smart beam consists of a passive aluminum beam (507x51x2mm) and eight symmetrically surface bonded SensorTech BM500 type PZT (Lead-Zirconate-Titanate) patches (25x20x0.5mm). PZT patches are used as actuators and a laser displacement sensor is used as sensor. The smart beam was analytically modelled by using the assumed-modes method. The model only included t...
Tasli, H. Emrah; Sicre, Ronan; Gevers, Theo; Alatan, Abdullah Aydın (2014-10-30)
This paper proposes a geometry-constrained spatial pyramid adaptation approach for the image classification task. Scene geometry is used as an input parameter for generating the spatial pyramid definitions. The resulting region adaptation is performed in accordance with the predefined geometric guidelines and underlying image characteristics. Using an approximate global geometric correspondence, exploits the idea that images of the same category share a spatial similarity. This assumption is evaluated and j...
Applied supervisory control for a flexible manufacturing system
Moor, Thomas; Schmidt, Klaus Verner; Perk, Sebastian (2010-12-01)
This paper presents a case study in the design and implementation of a discrete event system (DES) of real-world complexity. Our DES plant is a flexible manufacturing system (FMS) laboratory model that consists of 29 interacting components and is controlled via 107 digital signals. Regarding controller design, we apply a hierarchical and decentralised synthesis method from earlier work in order to achieve nonblocking and safe closed-loop behaviour. Regarding implementation, we discuss how digital signals tr...
Frequency-domain subspace identification of linear time-periodic (LTP) systems
Uyanık, İsmail; Saranlı, Uluç; Ankaralı, Mustafa Mert; Cowan, Noah J.; Morgül, Ömer (Institute of Electrical and Electronics Engineers (IEEE), 2019-06)
This paper proposes a new methodology for subspace-based state-space identification for linear time-periodic (LTP) systems. Since LTP systems can be lifted to equivalent linear time-invariant (LTI) systems, we first lift input-output data from an unknown LTP system as if they were collected from an equivalent LTI system. Then, we use frequency-domain subspace identification methods to find the LTI system estimate. Subsequently. we propose a novel method to obtain a time-periodic realization for the estimate...
Sliding mode control for non-linear systems with adaptive sliding surfaces
Durmaz, Burak; Özgören, Mustafa Kemal; SALAMCİ, METİN UYMAZ (2012-02-01)
This study covers the sliding mode control design with adaptive sliding surfaces for a class of affine non-linear systems, which can be described by (x) over dot = A(x)x + B(x)u + f(x) + d(x, t). The main streamline of the study is the sliding surface design for such systems. The sliding surfaces are designed to be moving with varying slopes and offsets. The varying sliding surface parameters are determined by solving the state-dependent Riccati equations online during the control process. Thus, the sliding...
Citation Formats
O. F. Kircali, Y. Yaman, V. Nalbantoglu, M. Şahin, F. M. Karadal, and F. D. Ulker, “Spatial control of a smart beam,” JOURNAL OF ELECTROCERAMICS, pp. 175–185, 2008, Accessed: 00, 2020. [Online]. Available: