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ANFIS ACTIVE VIBRATION CONTROL OF FLEXIBLE BEAM STRUCTURES

机译:柔性梁结构的ANFIS主动振动控制

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摘要

This paper presents the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for vibration control of flexible beam structures. ANFIS constructs a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using the backpropagation algorithm and least squares method. This allows the fuzzy system to learn from the data modeling. To allow the non-linear dynamics of the system be incorporated within the design, a pseudo random binary signal (PRBS) covering the dynamic range of interest of the system is used to train the ANFIS model, which gives good output prediction. Simulation results showing the performance of the developed control scheme in vibration suppression of flexible beam structures, with changes in the excitation signal, are presented and discussed.
机译:本文介绍了用于柔性梁结构振动控制的自适应神经模糊推理系统(ANFIS)控制器的开发。 ANFIS构建了一个模糊推理系统(FIS),其成员函数参数使用反向传播算法和最小二乘法进行了调整(调整)。这使得模糊系统可以从数据建模中学习。为了将系统的非线性动力学并入设计中,使用覆盖系统动态范围的伪随机二进制信号(PRBS)来训练ANFIS模型,从而提供良好的输出预测。仿真结果显示和讨论了开发的控制方案在柔性梁结构的振动抑制中的性能,并随着激励信号的变化而进行了讨论。

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