Active Control of Structure Instrumented with Optical Fiber Sensors Under Earthquake Loading

地震荷载下光纤传感器结构的主动控制

• 批准号: 9202159
• 负责人: Jackson C.S. Yang
• 金额: $ 21.94万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-07-01 至 1996-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9202159&HistoricalAwards=false
• 关键词: Active; Control; Structure; Instrumented; Optical

This project attempts to study the following key problems in active control: 1) the standard optimal control technique requires the knowledge of the entire time history of the structural response to compute the necessary control force by solving the Riccati equation. In the mean time, instantaneous optimal control algorithm was developed for on-line control. It lacks the analytical argument to prove its convergence and controllability in the global sense, and 2) the validity of the assumption that the control force is proportional to the displacement, velocity and acceleration of the structure subjected to earthquake loading. This assumption is acceptable if and only if the excitation force to the structure is ignored in the determination of the control force from minimizing the objective function. To answer the above questions, two types of control schemes are studied in this project: the pole placement controller and the neural network controller. These two schemes will be investigated both analytically and experimentally. In addition, optical fiber sensors will be applied to the scaled model structures. Through comparison of test signals between the optical fiber sensors and classical sensors, suggestions for improvements of the sensor system for use in civil engineering structures will be made possible. Overall, this project will be undertaken through the following three major research tasks: (1) control methodology; (2) scaled structural model experimental test on shake table; and (3) improvement of sensor systems.

该项目试图研究主动控制中的以下关键问题：1）标准最佳控制技术需要了解结构响应的整个时间历史，以通过求解Riccati方程来计算必要的控制力。 同时，开发了瞬时最佳控制算法用于在线控制。 它缺乏分析论点，无法证明其在全球意义上的融合和可控性，以及2）假设控制力与受地震负载的结构的位移，速度和加速度成正比的假设的有效性。 当且仅当在确定控制力最小化目标函数时忽略了结构的激发力时，就可以接受此假设。 为了回答上述问题，在此项目中研究了两种类型的控制方案：POL放置控制器和神经网络控制器。 这两个方案将在分析和实验中进行研究。 另外，光纤传感器将应用于缩放模型结构。 通过比较光纤传感器和经典传感器之间的测试信号，将成为改善土木工程结构中使用传感器系统的建议。 总体而言，该项目将通过以下三项主要研究任务进行：（1）控制方法； （2）在摇桌上的缩放结构模型实验测试； （3）传感器系统的改进。