Application of Adaptive Control Techniques to Intelligent/ Smart Structures

该项目涉及应用 自适应控制技术的发展， 结构分析 智能材料 例如，结构 例如嵌入有块体悬臂梁 具有“智能”特性的材料将被 考虑;和，分布式执行器，如 电流、电压和/或施加的磁场将 用于控制智能 材料，以便控制/抑制振动。 我们建议使用嵌入式分布式传感器 结合嵌入式分布式致动器 来实现整个内部的感应和运动 控制任务。 由此，溢出现象 与“截断”模型相关， 可以最小化被忽略的模式。 可能 这项工作的应用领域是 航空、航天和原子能发展。 恶劣环境下使用的材料 条件不仅应该具有高可靠性， 具有自诊断、抗损伤、 自我修复，或通知剩余寿命应 以避免事故发生。 该项目将 包括以下步骤：建模和 分析包括发展和 参数估计算法的实现， 关于被动控制政策的发展 主动控制结构和更新 定期材料特性（巧妙地）， 调整控制器参数（用于自适应 对照）。 一些新的和新颖的技术， 参数估计和自适应控制 参数分布系统将在 分布式执行器和传感器基础 测量.

This project is concerned with the application of adaptive control techniques in the development and analysis of structures imbedded with intelligent/smart materials. For example, structures such as a cantilever beam embedded with a bulk material having "smart" properties will be considered; and, the distributed actuator such as current, voltage and/or applied magnetic field will be used to control the properties of the smart material so as to control/suppress the vibrations. We propose to use an embedded distributed sensor in conjunction with embedded distributed actuators to achieve the total internal sensing and motion control tasks. By this, the spillover phenomena associated with a "truncated" model due to neglected modes can be minimized. Possible applications of this work are in the fields of aeronautics, space and atomic energy development. Materials for use under severe environmental conditions not only should have high reliability, but functions such as self-diagnosis, damage resistance, self-repair, or notification of residual life should be provided to avoid accidents. The project will consist of the following steps: Modeling and analysis comprising the development and implementation of parameter estimation algorithms, development of control policies concerning passive and active control of structures and updating periodically material characteristics (smartly) to adjust the controller parameters (for adaptive control). Some new and novel techniques in the parameter estimation and adaptive control of parameter-distributed system will be evolved on the basis of distributed actuators and sensors measurements.