Abstract We use the non-binary coding ,elitist strategy, increasing mutation rate, extinction, and immigration strategy to improve the simple genetic algorithms in this study. We expect that the search technique can avoid falling into the local optimum due to the premature convergence, and purse the chance that finding the near-optimal parameters in the larger searching space could be obviously increased. The accelerometer is then taken as the feedback sensor for output measurement, and the designed actuator and the PID fuzzy logic controller (PIDFLC) is implemented to actively suppress the vibration of the supporting mechanism that is due to the excitation effect of the high-speed and precision positioning action of the linear motor. From the computer simulations and the experimental results, it is obvious that the near-optimal PIDFLC controller designed by modified genetic algorithms can improve the effect of the vibration suppression; the settling time is also decrease. For the vibration suppressions of high-speed precision positioning problems, the vibrating supporting mechanism can quickly be stabilized.

Thesis (doctoral)--Helsinki University of Technology, 2009. / Includes bibliographical references. Also available on the World Wide Web.

Dissertation (PhD)--University of Stellenbosch, 2007. / Bibliography. Also available via the Internet.

Diss. Uppsala : Uppsala universitet, 2005.

Thesis (M.S.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains xi, 65 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 63-64).

Desde o final da década de 1980 até os dias atuais a utilização de materiais inteligentes em sistemas de controle de vibrações e em problemas de conversão de energia mecânica em energia elétrica tem sido amplamente investigada. Entre os materiais inteligentes destacamos os piezelétricos, apresentando acoplamento entre os domínios elétrico e mecânico. Em casos de controle passivo de vibrações utiliza-se o efeito piezelétrico direto e a energia de vibração é dissipada em um circuito elétrico passivo. Apesar de não utilizarem uma fonte externa de energia, a faixa de frequências onde o controlador passivo tem bom desempenho é limitada em relação aos controladores ativos. Em problemas de controle ativo de vibrações o efeito piezelétrico inverso é utilizado. Neste caso, uma tensão elétrica de controle é aplicada aos piezelétricos para a atenuação de vibrações. Os sistemas híbridos de controle (ativo-passivo) associam circuitos passivos e uma fonte de tensão elétrica. Nesse caso, os efeitos piezelétricos direto e inverso são utilizados simultaneamente. Espera-se que a parte ativa do sistema híbrido necessite de menor potência elétrica de atuação (se comparado com um controlador ativo) além do sistema híbrido proporcionar melhor resposta estrutural que o sistema passivo isoladamente. Entretanto, os controladores ativos e híbridos apresentam desvantagens relacionadas com complexidades de uma lei de controle, necessidade de equipamentos externos e podem exigir elevada potência de atuação. Os controladores semi-passivos surgiram como uma alternativa aos pontos negativos dos controladores passivos, ativos e híbridos. Uma técnica semi-passiva chamada SSD (synchronized switch damping) consiste no chaveamento do material piezelétrico entre a condição de circuito aberto e a condição de curto-circuito (SSDS) ou a uma indutância (SSDI), em momentos específicos da vibração da estrutura. Em geral, a conversão eletromecânica de energia é amplificada assim como o efeito shunt damping. Dessa forma, os circuitos semi-passivos, assim como os passivos, têm sido utilizados tanto como controladores de vibração quanto em problemas de coleta piezelétrica de energia. O objetivo deste trabalho é avaliar o desempenho de controladores piezelétricos passivos, semi-passivos, ativos e híbridos na atenuação de vibrações e também em problemas aeroelásticos. O modelo piezoaeroelástico é obtido com um modelo por elementos finitos (placa de Kirchhoff) eletromecanicamente acoplado que associado a um modelo aerodinâmico não-estacionário (método de malha de dipolos) resulta um modelo piezoaeroelástico. Casos de excitação harmônica de base, entrada impulsiva e também condição de flutter são estudados. / From the late 1980s until the present date, the use of smart materials as actuators in vibration control systems and as conversers of mechanical energy into electricity has been widely investigated. Among these smart materials, the piezoelectric ones stand out, presenting a coupling between the electrical and mechanical domain. In passive vibration control, the direct piezoelectric effect is used and vibration energy is dissipated (or harvested) in a passive circuit. Although no external power source is required, the frequency bandwidth in which passive controllers have good performance is limited when compared to active controllers. In active vibration control problems, the inverse piezoelectric effect is used. In this work, a voltage source is applied on the piezoceramic patches in order to attenuate vibration. Hybrid (active-passive) vibration controllers combine passive shunt circuits with the voltage source. In this case, the direct and inverse piezoelectric effects are used simultaneously. It is expected that the active part of the hybrid system will require less energy (when compared to an active controller) and a better structural response will be obtained than the purely passive system. Nevertheless, the active and hybrid controllers present disadvantages such as complexity of a control law, require external equipment and potentially require large amounts of energy. The semi-passive controllers are a recent alternative to the drawbacks of passive, active and hybrid controllers. A semi-passive technique called SSD (synchronized switch damping) consists of using an electronic switch that the piezoelectric element is briefly switched to an electrical shunt-circuit that can be a simple short-circuit (SSDS), or a small inductance (SSDI) at specific times in the structure\'s vibration cycle (Mohammadi, 2008). In general, the electromechanical energy conversion is enhanced as well as the shunt effect damping. Therefore, the switching techniques, as well as the passive circuits, have been used both in vibration control problems and in piezoelectric energy harvesting problems. The goal of this work is to assess the performance of passive, semi-passive, active and hybrid piezoelectric controllers to attenuate vibration in aeroelastic problems. The aeroelastic model is obtained by combining an electromechanically coupled finite element model (Kirchhoff\'s plate) with an unsteady aerodynamic models (the doublet-lattice method and Roger\'s model). The case studies are carried out on an elastic wing response to a base excitation, impulse force, and the flutter condition.

Orientador: Alberto Luiz Serpa / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-18T01:31:50Z (GMT). No. of bitstreams: 1 Paiva_MarianaZimianide_M.pdf: 3892993 bytes, checksum: a92803b64d6cc9ced6e88c9828446bbd (MD5) Previous issue date: 2009 / Resumo: Este trabalho propõe técnicas para o projeto das chamadas estruturas inteligentes, ou seja, aquelas estruturas que consideram simultaneamente o projeto de alguns de seus parâmetros juntamente com o projeto do controlador. Este tipo de abordagem possibilita encontrar um resultado de projeto que vai desde uma estrutura sem a necessidade do controlador ativo (ou seja, um projeto passivo) até o caso do projeto do controlador ótimo para uma estrutura específica. Este ponto de vista pode ser considerado inovador na área de projeto e controle de estruturas, pois permite buscar situações de controladores mais adequados em termos do desempenho desejado e dos custos envolvidos para controlar a estrutura. A abordagem utilizada é baseada em métodos de otimização. Neste caso, o problema de controle foi formulado usando os conceitos das desigualdades matriciais lineares e a formulação H?, que caracterizam uma metodologia atual na área de controle ótimo e robusto, permitindo ainda que outros parâmetros da estrutura possam ser considerados como variáveis de decisão, caracterizando uma otimização paramétrica da estrutura juntamente com o projeto do controlador. Neste trabalho, a otimização e o controle de vibrações de uma viga flexível foram realizados usando três tipos de estratégias de otimização, chamadas aqui de Otimização Passiva Estrutural, Otimização Ativa Serial e Otimização Ativa Simultânea. A implementação foi realizada usando o aplicativo MATLAB / Abstract: This work proposes techniques for the design of smart structures, that is, those structures that consider simultaneously the design of some of its parameters and the design of the controller. This type of approach allows to find a global design that will result either in a structure without the active controller requirement (i.e. a passive design) or the optimal controller for a specific structure. This point of view can be considered as one of the most innovative in the design and control of structures, because it provides more appropriate controllers in terms of desired performance and costs involved to control the structure. The approach used is based on optimization methods. In this case, the control design problem was formulated using the concepts of linear matrix inequalities and H? formulation, which is a current methodology in the area of robust and optimal control. It allows that other parameters of the structure can be considered as decision variables, representing a parametric optimization of structure together with the controller design. In this work, the simultaneous optimization and control for vibration suppression in a flexible beam was performed using three kinds of optimization strategies, called here as passive structural optimization, active serial optimization and active simultaneous optimization. The implementation was performed using the MATLAB software / Mestrado / Mecanica dos Sólidos e Projeto Mecanico / Mestre em Engenharia Mecânica

The accuracy of rotordynamic analysis of aeroengine structures is typically limited by a trade-off between the capabilities and the computational cost of the squeeze-film damper (SFD) bearing model used. Identification techniques provide a means of efficiently implementing complex nonlinear bearing models in practical rotordynamic analysis; thus facilitating design optimisation of the SFD and the engine structure. This thesis considers both identification from advanced numerical models and identification from experimental tests. Identification from numerical models is essential at the design stage, where rapid simulation of the dynamic performance of a variety of designs is required. Experimental identification is useful to capture effects that are difficult to model (e.g. geometric imperfections). The main contributions of this thesis are: • The development of an identification technique using Chebyshev polynomial fits to identify the numerical solution of the incompressible Reynolds equation. The proposed method manipulates the Reynolds equation to allow efficient and accurate identification in the presence of cavitation, the feed-groove, feed-ports, end-plate seals and supply pressure. • The first-ever nonlinear dynamic analysis on a realistically sized twin-spool aeroengine model that fulfills the aim of taking into account the complexities of both structure and bearing model while allowing the analysis to be performed, in reasonable time frames, on a standard desktop computer. • The introduction and validation of a nonlinear SFD identification technique that uses neural networks trained from experimental data to reproduce the input-output function governing a real SFD. Numerical solution of the Reynolds equation, using a finite difference (FD) formulation with appropriate boundary conditions, is presented. This provides the base data for the identification of the SFD via Chebyshev interpolation. The identified 'FD-Chebyshev' model is initially validated against the base (FD) model by application to a simple rotor-bearing system. The superiority of vibration prediction using the FD-Chebyshev model over simplified analytical SFD models is demonstrated by comparison with published experimental results. An enhanced FD-Chebyshev scheme is then implemented within the whole-engine analysis of a realistically sized representative twin-spool aeroengine model provided by a leading manufacturer. Use of the novel Chebyshev polynomial technique is repeatedly demonstrated to reduce computation times by a factor of 10 or more when compared to the basis (FD) model, with virtually no effect on the accuracy. Focus is then shifted to an empirical identification technique. Details of the commissioning of an identification test rig and its associated data acquisition system are presented. Finally, the empirical neural networks identification process for the force function of an SFD is presented and thoroughly validated. When used within the rotordynamic analysis of the test rig, the trained neural networks is shown to be capable of predicting complex nonlinear phenomena with remarkable accuracy. The results show that the neural networks are able to capture the effects of features that are difficult to model or peculiar to a given SFD.

Line-of-sight stabilization of an optical instrument using magnetostnctlve actuators is described in this study. Various stabilization methods, i.e. gyroscopic, hydraulic, piezoelectric, electrodynamic and magnetostrictive methods, are compared and magnetostrictive stabilization is selected for its relatively large stroke length, low input voltage and wide frequency bandwidth. The system makes use of two magnetostrictive actuators, one at each end of the optical instrument, mounted between the moving base and instrument. Each actuator is equipped with cylindrical rods of Terfenol-D, a highly magnetostrictive material. Field coils are wound around the rods to produce a strain in the rods, thereby exciting angular motion of the instrument. Actuator stroke length is enhanced by means of a hingeless gain mechanism, rod prestressing and field biasing. Dynamic characteristics of the system are modelled to facilitate actuator, coil and control system design. A linear, single-degree-of-freedom actuator model, in state-space and transfer function forms, is derived and coupled to a distributed model of the optical instrument, using the Rayleigh-Ritz method. Transfer functions between actuator coil voltages and instrument angular acceleration are derived. Normal mode shapes, natural frequencies and damping factors are predicted. Design concepts for bias field, prestress, actuator gain and optical instrument support structure, are discussed and the most suitable concepts are selected. The required actuator gain, rod length and diameter, prestress spring stiffness, coil resistance and inductance are calculated. System components are designed in detail and safety of the design is checked. The actuators are characterized quasi-statically to determine the saturation strain, linear range of operation and DC bias field. The system is dynamically characterized to obtain transfer functions between the coil voltage and instrument angular acceleration. The test setups are described and limitations of the setups are discussed. Test results are processed and discussed. A comparison with the modelled results shows that the model is highly inaccurate. Reasons for inaccuracies are given and updating of the model is motivated. An updated model is obtained from the experimental results. The model is divided into electrical and mechanical subsystem models. The SDOF actuator models are replaced with 2DOF models (one for each actuator) and coupled to the instrument and base models, using substructure synthesis. The electrical and mechanical subsystem models are subsequently coupled. It is shown that the updated system model is considerably more accurate than the original model. A linear, suboptimal, disturbance feedforward plus output feedback controller, with output integral feedback, is designed, implemented and tested. An H2 optimal controller is designed and modified to improve robustness. The controller model is coupled to that of a suboptimal observer. An output integral feedback loop is added to further improve robustness. The controller is implemented in digital filter form. The test apparatus and procedure are described. Test results are processed and discussed. It is shown that the LOS stabilization system achieves 80% of the required isolation, over a frequency bandwidth of 0 Hz to 100 Hz. A summary of the work done, conclusions that can be drawn from the results, problems encountered and recommendations for future work, are given. / Thesis (PhD (Mechanical Engineering))--University of Pretoria, 2006. / Mechanical and Aeronautical Engineering / unrestricted

Please read the abstract in the section 00front of this document / Dissertation (M Eng (Mechanical Engineering))--University of Pretoria, 2000. / Mechanical and Aeronautical Engineering / unrestricted