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This paper presents the development of an active vibration control (AVC) mechanism using real-coded genetic algorithm (RCGA) optimization. The approach is realized with single-input single-output (SISO) and single-input multiple-output (SIMO) control configurations in a flexible plate structure. A simulation environment characterizing a thin, square plate, with all edges clamped, is developed using...
This paper presents an active vibration control (AVC) scheme based on artificial immune system (AIS) algorithm with application to a thin plate system. A model-based control design approach, intergrating identification of the system model based on AIS is carried out to design the controller. The investigations concentrate on the first five resonance modes of the structure, and assesses the ability...
This paper presents a recursive least-squares (RLS)-model based active vibration control (AVC) system with genetic algorithm (GA) self tuning. Tuning parameters include initial regression vectors, gain of RLS-model and gain of controller. The system employs a single-input single-output (SISO) control configuration, and is realised within the Matlab/Simulink environment. In the paper, the parameters...
This paper presents investigations of modeling the flexible plate structures using particle swarm optimization (PSO) and active vibration control (AVC) of such structures. The optimization technique is utilized to obtain a dynamic model of a flexible plate structure based on auto-regressive with exogenous (ARX) input structure. The structure is subjected to two different disturbance signal types,...
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