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首页> 外文期刊>Mechanics & Industry >An adaptive LQR controller based on PSO and maximum predominant frequency approach for semi-active control scheme using MR damper
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An adaptive LQR controller based on PSO and maximum predominant frequency approach for semi-active control scheme using MR damper

机译：基于PSO的自适应LQR控制器和MR DAMPT的半主动控制方案最大主要频率方法

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摘要

In the linear quadratic regulator (LQR) problem, the generation of control force depends on the components of the control weighting matrix R. The value of R is determined while designing the controller and remains the same later. Amid a seismic event, the responses of the structure may change depending the quasi-resonance occurring between the structure and the earthquake signal. In this situation, it is essential to update the value of R for conventional LQR controller to get optimum control force to mitigate the vibrations due to the earthquake. Further, the constant value of the weighting matrix R leads to the wastage of the resources using larger force unnecessarily where the structural responses are smaller. Therefore, in the quest of utilizing the resources wisely and to determine the optimized value of the control weighting matrix R for LQR controller in real time, a maximum predominant period τ _( p )~(max)and particle swarm optimization-based method is presented here. This method comprises of four different algorithms: particle swarm optimization (PSO), maximum predominant period approach τ _( p )~(max)to find the dominant frequency for each window, clipped control algorithm (CO) and LQR controller. The modified Bouc-Wen phenomenological model is taken to recognize the nonlinearities in the MR damper. The assessment of the advised method is done on a three-story structure having a MR damper at ground floor subjected to three different near fault historical earthquake time histories. The outcomes are equated with those of simple conventional LQR. The results establish that the advised methodology is more effective than conventional LQR controllers in reducing inter-story drift, relative displacement, and acceleration response.
机译：在线性二次调节器（LQR）问题中，控制力的产生取决于控制权重矩阵R的组件。在设计控制器的同时确定R的值并保持相同。在地震事件中，结构的响应可以根据结构与地震信号之间发生的准共振而变化。在这种情况下，必须更新传统的LQR控制器的R值，以获得最佳控制力以减轻由于地震引起的振动。此外，加权矩阵R的恒定值导致使用较大的力的资源的浪费，其中结构响应较小。因此，在寻求实际时间利用资源并实际确定LQR控制器的控制权力矩阵R的优化值，最大主要时间τ_（p）〜（max）和基于粒子群优化的方法是在这里提出。该方法包括四种不同的算法：粒子群优化（PSO），最大主要时间方法τ_（p）〜（max）找到每个窗口的主导频率，剪切控制算法（CO）和LQR控制器。修改的BOUC-WEN现象学模型被采用识别MR阻尼器中的非线性。建议方法的评估是在一个三层结构上完成的，该结构在底层的底层MR Damper经受三种不同的近缺陷历史地震时间历史历史。结果与简单的传统LQR相同。结果确定所建议的方法比传统的LQR控制器更有效地减少故事际漂移，相对位移和加速度响应。

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