Thermal imaging based on mechanical vibrations

Yılmaz, Şener
The thesis proposes a digital, resonance readout method based on a lock-in based digital phase locked loop (DPLL) mechanism, which is designed, simulated, implemented and tested using a Xilinx made Field Programmable Gate Array (FPGA). Implementation is performed using a hardware descriptive language (VHDL) on low level. Certain digital signal processing algorithms such as lock-in detection, DPLL, DDS and CORDIC are implemented, simulated and tested. Moreover, the design is shown to be capable of resonating both single and multiple resonators simultaneously in real time. As a proof of concept, a low-cost RLC based, low quality factor resonant position sensor with sub micron resolution is tested along with high quality factor quartz crystals for demonstration of simultaneous multi device operation capability. Finally, it is shown that the proposed method can be used for detection of temperature using capacitive MEMS resonant microbolometer arrays, as well as any kind of resonance based sensor.


Multi-DSP and -FPGA-Based Fully Digital Control System for Cascaded Multilevel Converters Used in FACTS Applications
Atalik, Tevhid; Deniz, Mustafa; Koc, Erkan; Gercek, Cem Ozgur; Gultekin, Burhan; Ermiş, Muammer; ÇADIRCI, IŞIK (2012-08-01)
In this paper, a fully digital controller based on multiple digital signal processor (DSP) and field-programmable gate array (FPGA) boards has been proposed for parallel-operated cascaded multilevel converters (CMC) used in flexible AC transmission system (FACTS) applications. The proposed system is composed of a DSP-based master controller in combination with a multiple number of slave DSP boards, FPGA boards, microcontrollers, a programmable logic controller (PLC), an industrial computer, and their periph...
An experimental study on Power Amplifier linearisation by artificial neural networks Yapay Sinir Aǧlari ile Güç Yükselteç Doǧrusalląstirma Amaçli Deneysel Bir Çalisma
Yesil, Soner; Kolagasioglu, Ahmet Ertugrul; Yılmaz, Ali Özgür (2018-07-05)
This paper represents an experimental study on the linearisation of Power Amplifiers especially on high output power regions by utilizing an artificial neural network structure and open-loop training method. For the same in-band output power, 9dB EVM and 6dB ACLR improvement has been observed on hardware by feeding the proposed digital predistortion signal (DPD) to the PA under test.
Performance Evaluation of Different Real-Time Motion Controller Topologies Implemented on a FPGA
MUTLU, B. R.; Yaman, Ulaş; Dölen, Melik; Koku, Ahmet Buğra (2009-11-18)
This paper presents a comprehensive comparison of several real-time motion controller topologies implemented on a field programmable gate array (FPGA). Controller topologies are selected as proportional-integral-derivative controller with command feedforward, sliding mode controller, fuzzy controller, and a hysteresis controller. Controllers and other necessary modules are developed using Verilog HDL and they are implemented on a ML505 development board with a Xilinx Virtex-5 FPGA chip. In order to take ful...
High-performance readout circuit for resonator-based MEMS accelerometer using digital control loop
Ali, Muhammad; Akın, Tayfun; Department of Electrical and Electronics Engineering (2022-11)
This study proposes a new digital control loop-based compact readout circuit for a resonant MEMS accelerometer providing high performance with reduced temperature and power supply dependence while utilizing low processing power. The readout circuit utilizes a charge-sensing pre-amplifier stage that converts the small motional current to readable voltage, which is then converted to the digital domain using a 16-bit ADC to perform the amplitude and frequency extraction in the digital domain. A Proportional In...
Distributed adaptive output feedback control design and application to a formation flight experiment
Kutay, Ali Türker; Calise, Anthony J.; D'Andrea, Raffaello (2005-01-01)
An approach for augmenting existing distributed controller designs for large-scale interconnected systems with neural network based adaptive elements is proposed. It is assumed that the controllers are interconnected in the same way as the plant and based on the available measurements, a single hidden layer neural network is introduced for each subsystem to partially cancel the effects of the sub-system interconnections and modeling errors on tracking performance. Boundedness of error signals is shown throu...
Citation Formats
Ş. Yılmaz, “Thermal imaging based on mechanical vibrations,” M.S. - Master of Science, Middle East Technical University, 2022.