CAREER: Microsystem Model Identification and Control

这一多学科研究计划整合了微系统建模、识别和控制的实验、计算和分析方法。微型传感器和执行器在惯性导航、车辆稳定和流量控制应用中找到了一个利基市场，在这些应用中，功耗、重量和成本是主要考虑因素。然而，这些设备的制造技术无法对一些重要的机电性能进行精确控制。此外，器件对温度和压力等环境因素很敏感，因此必须采用额外的补偿来提高线性度、动态范围和稳定性。实时模型识别算法是这种能力的核心。这些算法实现了更高级别的性能、自主性和可靠性，并可以通过增加产量和增加自检来降低系统成本。微系统成品率的提高源于自我识别和补偿微制造错误的能力，否则微制造错误将限制性能或导致测试失败。这些基于自适应格型滤波的算法已被用于多个微型陀螺样机的在线标定。结果是非常令人鼓舞的，并且已经开发出结合了微型传感器中存在的非线性的新类型的模型结构。与这种建模工作相辅相成的是开发新的非线性控制体系结构和综合方法，以满足微系统的独特性能目标。许多设备，包括微流量控制执行器和其他传感器原型，正在用这些新工具进行测试。教育通过本科生传感器和执行器实验室得到加强。该实验室向学生介绍工业传感器和执行器仪器，并通过探索与微系统设计、校准和控制相关的许多问题为他们提供研究经验。

This multidisciplinary research program integrates experimental, computational, and analytical methods for micro system modeling identification, and control. Micro sensors and actuators are finding a niche in inertial navigation, vehicle stabilization, and flow control applications where power consumption, weight, and cost are primary considerations. The manufacturing technology of these devices, however, does not enable precise control over some important electro-mechanical properties. Furthermore, the devices can exhibit sensitivity to environmental factors, such as temperature and pressure, so additional compensation must be employed to improve linearity, dynamic range, and stability. Real-time model identification algorithms are at the heart of this capability. The algorithms enable higher levels of performance, autonomy, and reliability and can lower system costs through increased yields and increased self-testing. Increased yields for micro systems arise from the ability to self-identify and compensate for micro-fabrication errors that would otherwise limit performance or cause test failure. These algorithms, based on adaptive lattice filters, have been used for on-line calibration of several micro gyroscope prototypes. The results are extremely encouraging and new classes of model structures that incorporate nonlinearities present in micro sensors have been developed. Complementary to this modeling effort are the development of novel nonlinear control architectures and synthesis methods that address the unique performance objectives of micro systems. A number of devices, including micro-flow control actuators and other sensor prototypes, are being tested with these new tools. Education is enhanced through the undergraduate Sensor and Actuator Laboratory. This laboratory introduces students to industrial sensor and actuator instrumentation and provides them with research experience by exploring many of the problems associated with micro system design, calibration, and control.