Esnek panellerin PZT yamalar aracılığı ile aktif titreşim kontrolü- sonsuz dürtü cevaplı (IIR) filtre tabanlı adaptif yaklaşımlar ve bir endüstriyel çözüm

Consequences of severe vibrations may lead to decrease in service life or even cause damage on the components of a structure. The passive isolation techniques are not generally feasible and efficient for low frequency vibration suppression; instead, Active Vibration Control (AVC) can be used to suppress the low frequency vibrations. The contributions of this thesis in the field of AVC can be grouped in two main cathegories. First cathegory is to develop IIR filtering based adaptive approaches for active vibration control and demonstrate the efficiency of the developed methodologies on two different case studies. The other category is to develop a methodology to suppress vibration level on the wheelhouse of a newly designed commercial vehicle produced by Ford OTOSAN. The first case study on adaptive control includes an implementation of an IIR filter integrated with the online modelling secondary path modelling methodology to develop a novel controller configuration for AVC. In order to develop such a methodology, Filtered-U LMS (FULMS) algorithm is used to update the controller filter parameters while a recently developed online secondary path modelling algorithm continuously update the modeling filter parameters. The controller is implemented on a vehicle panel and piezoelectric patches (PZT actuators) are used as sensors and actuators for their low-weight, and high performance properties. The second case study on adaptive control includes implementation of Steiglitz-McBride (SM) IIR filtering technique for active vibration control. The Steiglitz-McBride algorithm is demonstrated on an experimental setup where the controller is implemented on a quarter body in white vehicle where PZT actuators are attached on one of the panels. Later, the algorithm is computationally enhanced by developing a novel approach (hybrid SM) which combines the frequency domain adaptive filtering methodology with the classical algorithm. Efficiency of the developed methodology is demonstrated both experimentally and numerically. Finally, an active vibration control methodology on a real vehicle is demonstrated for controlling the road induced disturbances. A vehicle produced by Ford-OTOSAN Company is used in the AVC studies. Two different feedback controller approaches, Positive Position Feedback (PPF) and Linear Quadratic Regulator (LQG), are implemented and compared. The resuls showed that both algorithms performed well at the problematic region. However, the vibration level at the higher modes are amplified when the PPF algorithm is used whereas this problem is eliminated when the LQG controller is used. All of the studies presented in this thesis demonstrate that the developed AVC approaches are effective in terms of vibration suppression and can be used effectively for solving vibration related problems in flexible panels.