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Active Vibration Control Of Plate Structure Using Electromagnetic Transducer Based On H_∞ Optimized Positive Position Feedback

Active Vibration Control Of Plate Structure Using Electromagnetic Transducer Based On H_∞ Optimized Positive Position Feedback

Current price: $33.50
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Active Vibration Control Of Plate Structure Using Electromagnetic Transducer Based On H_∞ Optimized Positive Position Feedback

Active Vibration Control Of Plate Structure Using Electromagnetic Transducer Based On H_∞ Optimized Positive Position Feedback

Current price: $33.50
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Size: Paperback

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Research Paper (postgraduate) from the year 2015 in the subject Engineering - Computer Engineering, Flinders University (School of Computer Science, Engineering and Mathematics, Faculty of Science and Engineering), course: Master of engineering by research, language: English, abstract: In this paper active vibration control (AVC) methodology is presented by the author using self-sensing magnetic transducers for a flexible plate structure. H_∞ Optimized positive position feedback (HOPPF) controller is tested and verified for multi-modes multi-input-multi-output (MIMO) vibration suppression through simulation and experiment implement. Genetic algorithm (GA) searching is applied to obtain the optimal parameters of the controllers according to the minimization criterion solution to the H_∞ norm of the whole closed-loop system.
Research Paper (postgraduate) from the year 2015 in the subject Engineering - Computer Engineering, Flinders University (School of Computer Science, Engineering and Mathematics, Faculty of Science and Engineering), course: Master of engineering by research, language: English, abstract: In this paper active vibration control (AVC) methodology is presented by the author using self-sensing magnetic transducers for a flexible plate structure. H_∞ Optimized positive position feedback (HOPPF) controller is tested and verified for multi-modes multi-input-multi-output (MIMO) vibration suppression through simulation and experiment implement. Genetic algorithm (GA) searching is applied to obtain the optimal parameters of the controllers according to the minimization criterion solution to the H_∞ norm of the whole closed-loop system.

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