Utilizing the Particle Swarm Optimization Algorithm for Determining Control Parameters for Civil Structures Subject to Seismic Excitation
Utilizing the Particle Swarm Optimization Algorithm for Determining Control Parameters for Civil Structures Subject to Seismic Excitation
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DOI：
10.3390/a14100292
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发表时间：
2021-10
期刊：
影响因子：
2.3
通讯作者：
C. A. Peckens;Andrea Alsgaard;C. Fogg;Mary C. Ngoma;Clara Voskuil
中科院分区：
文献类型：
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作者：
C. A. Peckens;Andrea Alsgaard;C. Fogg;Mary C. Ngoma;Clara Voskuil
由于信息交换方面的挑战以及由于与控制算法相关的复杂计算而导致系统固有的延迟，响应大型外部载荷（例如地震或风）的民用基础设施的结构控制并未得到广泛应用。本研究在传感节点采用前端信号处理来减轻控制节点的计算，并产生加权输入的简单求和来确定控制力。控制律简化为 U = WP，其中 U 是控制力，W 是预先确定的权重矩阵，P 是结构对所施加激励的响应的解构表示。确定此计算的最佳权重矩阵并非易事，本研究使用具有修改后的归航功能的粒子群优化 (PSO) 算法来收敛到可能的解决方案。为了进一步简化控制算法，将各种剪枝技术与 PSO 算法相结合，以优化权重矩阵中的条目数量。这些优化技术应用于五层结构的仿真，并且根据控制参数在保持控制有效性的同时最大限度地减少信息交换的能力来量化所得到的控制参数的成功。研究发现，基于震级的修剪方法与 PSO 算法配合使用时，能够为受到地震基础激励的结构提供最有效的控制。
Structural control of civil infrastructure in response to large external loads, such as earthquakes or wind, is not widely employed due to challenges regarding information exchange and the inherent latencies in the system due to complex computations related to the control algorithm. This study employs front-end signal processing at the sensing node to alleviate computations at the control node and results in a simplistic sum of weighted inputs to determine a control force. The control law simplifies to U = WP, where U is the control force, W is a pre-determined weight matrix, and P is a deconstructed representation of the response of the structure to the applied excitation. Determining the optimal weight matrix for this calculation is non-trivial and this study uses the particle swarm optimization (PSO) algorithm with a modified homing feature to converge on a possible solution. To further streamline the control algorithm, various pruning techniques are combined with the PSO algorithm in order to optimize the number of entries in the weight matrix. These optimization techniques are applied in simulation to a five-story structure and the success of the resulting control parameters are quantified based on their ability to minimize the information exchange while maintaining control effectiveness. It is found that a magnitude-based pruning method, when paired with the PSO algorithm, is able to offer the most effective control for a structure subject to seismic base excitation.