Asılı sarkaç sisteminde konum kontrolü

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Anahtar kelimeler: Asılı Sarkaç Sistem, Konum kontrolü, Model Esaslı AdaptifKontrol, PIDOn sekizinci yüzyıldan günümüze dek degisik alanlarda uygulanan asılı sarkaçsistemi konum kontrolü kontrol mühendisliginin önemli bir sorunudur. Zamanlasarkaç parametrelerinde olusan degisimler sistemin kontrolünü olumsuz yöndeetkilemekte ve kararsızlıga sebep olabilmektedir. Söz konusu bu sorunların çözümüiçin literatürde genis uygulama alanı bulan PID vb. gibi klasik kontrol yöntemleriyetersiz kalmaktadır. Sorunun çözümü için adaptif kontrol yöntemlerini kullanmakkaçınılmaz olmaktadır.Bu çalısmada asılı sarkaç sisteminin model esaslı adaptif konum kontrolüöngörülmüstür. Öncelikle laboratuar ortamında gerçeklestirilen bir asılı sarkaçsisteminin matematiksel modeli kullanılarak Matlab/Simulink yazılımı ortamındaPID ve model esaslı adaptif kontrol yöntemleri uygulanmıstır. Daha sonra aynıkontrol yöntemleri Labview yazılımı kullanılarak gerçek zamanda yürütülerekdegisik kosullar için deneysel sonuçlar elde edilmistir. Elde edilen deneysel sonuçlarile benzetim sonuçlarının oldukça uyumlu oldugu, PD kontrolör ile model esaslıadaptif kontrolün birlikte kullanılması durumunda oldukça iyi sonuçlar elde edildigigözlenmistir.Key Words: Compound Pendulum System, Position Control, Model ReferenceAdaptive Control, PIDCompound pendulum system position control which is applied in different fieldsfrom eighteenth century to today has been an important problem of controlengineering. Changes in pendulum parameters in the course of time affects systemcontrol negatively and could cause system instability. Classical control methods likePID etc. which have a great application area in literature became insufficient forsolution of these mentioned problems. So the solutions of this problem usingadaptive control methods are being necessary.Model reference adaptive position control in compound pendulum system has beensupposed in this study. At first, using mathematical model of the compoundpendulum system realized in the laboratory environment, PID and model referencecontrol methods applied by using Matlab/Simulink software. After that thementioned control methods are applied in real time with Labview Software andexperimental results for different conditions are obtained. Simulation results andexperimental results that has been obtained nearly the same and PD controller withmodel reference adaptive control fairly well results have been observed

Turn-Key Stabilization and Digital Control of Scalable, N GTI Resonator Based Coherent Pulse Stacking Systems

Coherent Pulse Stacking Amplification (CPSA) is a new time-domain coherent addition technique that overcomes the limitations on pulse energies achievable from optical amplifiers. It uses reflecting resonators to transform a sequence of phase- and amplitude-modulated optical pulses into a single output pulse enabling high pulse energy for fiber lasers. This thesis focuses on utilizing efficient algorithms for stabilization and optimization aspects of CPSA and developing a robust, scalable, and distributed digital control system with firmware and software integration for algorithms, to support the CPS (Coherent Pulse Stacking) application. We have presented the theoretical foundation of the stochastic parallel gradient descent (SPGD) for phase stabilization, discussed its performance criteria, its convergence, and its stability. We have presented our software and hardware development for time-domain coherent combing stabilization (specifically, an FPGA (Field Programmable Gate Array)-based Control system with software/firmware development to support stabilization and optimization algorithms). Analytical formulations of output stacked pulse profile as a function of input pulse train amplitudes and phase and stacker cavity parameters have been derived so as to build up a foundation for a GTI (Gires-Tournois-Interferometer) Cavity-based noise measurement technique. Time-domain and frequency domain characterization techniques have been presented to analyze phase and amplitude noise in the stacking system. Stacking sensitivity to errors in different control parameters (stacker cavity phase, pulse amplitude, and phases) for different stacker configurations have been analyzed. Noise measurement results using GTI cavities with different round-trip time has have been presented and we have shown how effectively the stacking phase noise in the system can be reduced by improving the noise performance of the mode-locked oscillator. Simulation and Experimental results for stabilizing different stacker configurations have been presented. Finally an algorithmic control system along with software/hardware development for optimizing amplitudes and phases of the input burst has been implemented to increase stacking fidelity. A complete detailed description, and simulation of the Genetic Algorithm as an alternative algorithm for optimizing the stacked pulse fidelity has been presented. Comparison between SPGD and Genetic Algorithm results has been done to evaluate their performance. To summarize, this thesis provides theoretical, experimental, and implementation aspects of controlling CPSA system by introducing efficient control algorithms and developing a turn-key digital control system which is scalable to large number of stacker cavities.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/147664/1/msheikhs_1.pd

Simulated Annealing

The book contains 15 chapters presenting recent contributions of top researchers working with Simulated Annealing (SA). Although it represents a small sample of the research activity on SA, the book will certainly serve as a valuable tool for researchers interested in getting involved in this multidisciplinary field. In fact, one of the salient features is that the book is highly multidisciplinary in terms of application areas since it assembles experts from the fields of Biology, Telecommunications, Geology, Electronics and Medicine

Two timescale analysis of the Alopex algorithm for optimization

Alopex is a correlation-based gradient-free optimization technique useful in many learning problems. However, there are no analytical results on the asymptotic behavior of this algorithm. This article presents a new version of Alopex that can be analyzed using techniques of two timescale stochastic approximation method. It is shown that the algorithm asymptotically behaves like a gradient-descent method, though it does not need (or estimate) any gradient information. It is also shown, through simulations, that the algorithm is quite effective