{"product_id":"wu-zhonghui-multi-mode-active-vibration-control-using-h-optimization-mimo-positive-position-feedback-based-genetic-algorithm-9783668270718","title":"Multi-mode Active Vibration Control Using H¿ Optimization MIMO Positive Position Feedback Based Genetic Algorithm","description":"Master's Thesis from the year 2014 in the subject Engineering - General, Basics, Flinders University (School of Computer Science, Engineering and Mathematics), language: English, abstract: In this thesis, experimental, analytical and numerical analysis are used for distributed parameter plate structure modeling, an infinite-dimensional and a very high-order plate mathematical transfer function model is derived based on modal analysis and numerical analysis results. A feed-through truncated plate model which minimizing the effect of truncated modes on spatial low-frequency dynamics of the system by adding a spatial zero frequency term to the truncated model is provided and numerical software MATLAB is used to compare the feed-through truncated plate model with traditional balanced reduction plate model which is used to decrease the dimensions and orders of the infinite-dimensional and very high-order plate model.\n\u003cbr\u003e\nActive vibration control strategy is presented for a flexible plate structure with bonded three self-sensing magnetic transducers which guarantee unconditional stability of the closed-loop system similar as collocated control system. Both multi-mode SISO and MIMO control laws based upon positive position feedback is developed for plate structure vibration suppression. The proposed multi-mode PPF controllers can be tuned to a chosen number of modes and increase the damping of the plate structure so as to minimize the chosen number of resonant responses.\n\u003cbr\u003e\nStability conditions for multi-mode SISO and MIMO PPF controllers are derived to allow for a feed-through term in the model of the plate structure which is needed to ensure little perturbation in the in-bandwidth zeros of the model. A minimization criterion based on the H¿ norm of the closed-loop system is solved by a genetic algorithm to derive optimal parameters of the controllers. Numerical simulation and experimental implementation are performed to verify the effectiveness of multi-mode SISO and MIMO PPF controllers¿ vibration suppression for the feed-through truncated plate structure.","brand":"GRIN Verlag","offers":[{"title":"Default Title","offer_id":54726533677398,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9783668270718_1.jpg?v=1791047656","url":"https:\/\/www.momoxbooks.com\/products\/wu-zhonghui-multi-mode-active-vibration-control-using-h-optimization-mimo-positive-position-feedback-based-genetic-algorithm-9783668270718","provider":"momox","version":"1.0","type":"link"}