Application of Adaptive Control Techniques to Intelligent/ Smart Structures

本项目主要研究自适应控制技术在智能/智能材料结构开发和分析中的应用。例如，将考虑用具有“智能”特性的散装材料嵌入的悬臂梁等结构；并利用电流、电压和/或外加磁场等分布式执行器来控制智能材料的性能，从而控制/抑制振动。我们提出使用嵌入式分布式传感器和嵌入式分布式执行器来完成整个内部传感和运动控制任务。通过这种方式，可以最大限度地减少由于被忽略的模式而导致的“截断”模型的溢出现象。这项工作的可能应用领域是航空、空间和原子能开发。在恶劣环境条件下使用的材料不仅应具有高可靠性，而且应具有自诊断、抗损坏、自修复或剩余寿命通知等功能，以避免事故发生。该项目将包括以下步骤：建模和分析，包括开发和实施参数估计算法，制定关于结构被动和主动控制的控制策略，并定期更新材料特性(智能地)以调整控制器参数(用于自适应控制)。在分布式执行器和传感器测量的基础上，在参数分布系统的参数估计和自适应控制方面将发展出一些新的和新的技术。

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.