Development and Performance Evaluation of Low Power Intelligent Structural Control Systems (Collaborative Research)

9301778寿reshi自动控制、人工智能、智能材料、传感器和执行器领域的进步使智能结构的发展成为可能。这种结构将具有识别其动态状态的能力，包括参数变化；识别外部刺激的功能描述，例如地震荷载、大风、交通；并在主要刺激存在的情况下自适应地产生所需的驱动力。为了开发这样一个智能结构，必须研究几个研究问题。本研究的重点是基于神经的控制方案的制定和发展，重点是结构参数变化的学习，以及一种新的低功耗结构自适应驱动系统的设计和构建。由此产生的智能结构控制系统将具有基于模糊的不确定性补偿器。总体研究目标是评估和比较智能和常规控制系统的性能。将建造一个原型结构，即小型电缆桥架，用于实验目的。所提出的执行器和控制系统将在该实验结构上集成和实施，并将模拟和考虑土-结构相互作用的影响。＊＊＊

9301778 Shoureshi Advances in the area of automatic control, artificial intelligence, smart materials, sensors, and actuators have made the development of intelligent structures feasible. Such structures would have the ability to identify their dynamical state, including parameter variations; identify functional descriptions of external stimuli, e.g. earthquake loads, high winds, traffic; and adaptively generate the required actuation forces in the presence of major stimuli. In order to develop such an intelligent structure several research issues have to be studied. This investigation focuses on the formulation and development of a neural-based control scheme, with emphasis on learning of structural parameter variations, and design and construction of a new low-powered adaptive actuation system for structures. The resulting intelligent structural control system will have a fuzzy based uncertainty compensator. The overall research objective is to evaluate and compare performances of intelligent and conventional control systems. A prototype structure, namely a small scaled cable bridge will be constructed for experimental purposes. The proposed actuators and control systems will be integrated and implemented on this experimental structure, and the effects of soil - structure interaction will be emulated and considered. ***