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首页> 外文期刊>Journal of Sound and Vibration >Free vibration control of smart composite beams using particle swarm optimized self-tuning fuzzy logic controller
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Free vibration control of smart composite beams using particle swarm optimized self-tuning fuzzy logic controller

机译:粒子群优化的自整定模糊逻辑控制器对智能组合梁的自由振动控制

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This paper deals with active free vibrations control of smart composite beams using particle-swarm optimized self-tuning fuzzy logic controller. In order to improve the performance and robustness of the fuzzy logic controller, this paper proposes integration of self-tuning method, where scaling factors of the input variables in the fuzzy logic controller are adjusted via peak observer, with optimization of membership functions using the particle swarm optimization algorithm. The Mamdani and zero-order Takagi- Sugeno-Kang fuzzy inference methods are employed. In order to overcome stability problem, at the same time keeping advantages of the proposed self-tuning fuzzy logic controller, this controller is combined with the LQR making composite controller. Several numerical studies are provided for the cantilever composite beam for both single mode and multimodal cases. In the multimodal case, a large-scale system is decomposed into smaller subsystems in a parallel structure. In order to represent the efficiency of the proposed controller, obtained results are compared with the corresponding results in the cases of the optimized fuzzy logic controllers with constant scaling factors and linear quadratic regulator.
机译:本文利用粒子群优化的自整定模糊逻辑控制器对智能复合梁的主动自由振动进行控制。为了提高模糊逻辑控制器的性能和鲁棒性,本文提出了一种自调整方法的集成,其中通过峰值观测器调整模糊逻辑控制器中输入变量的比例因子,并使用粒子对隶属函数进行优化。群优化算法。采用了Mamdani和零阶Takagi-Sugeno-Kang模糊推理方法。为了克服稳定性问题,在保持所提出的自整定模糊逻辑控制器优势的同时,将该控制器与LQR制造复合控制器结合使用。对于单模态和多模态的悬臂复合梁,提供了一些数值研究。在多模式的情况下,大型系统以并行结构分解为较小的子系统。为了表示所提出的控制器的效率,将获得的结果与具有恒定比例因子和线性二次调节器的优化模糊逻辑控制器的情况下的相应结果进行比较。

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