压电智能加筋板结构非线性振动主动容错控制研究

项目名称： 压电智能加筋板结构非线性振动主动容错控制研究

项目编号： No.51305003

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 机械、仪表工业

项目作者： 马天兵

作者单位： 安徽理工大学

项目金额： 25万元

中文摘要： 针对压电智能加筋板结构非线性振动控制中容易出现的时滞、控制器饱和、谐波响应以及传感器/作动器故障等问题，提出将集时滞和非线性扰动补偿于一体的自适应控制策略与主动容错控制技术相结合，构建了非线性振动的主动容错控制新方法。拟以加筋壁板结构为研究对象，通过Hamilton变分法建立结构非线性动力学模型，采用混沌粒子群方法优化出传感器/作动器最佳贴片位置，设计集前馈、反馈和非线性扰动补偿于一体的新型模型参考自适应控制算法，运用小波包和RBF神经网络实现传感器和作动器的故障特征识别，运用LabVIEW编写不同故障类型下的自适应控制律和自动切换代码，最后通过NI Compact RIO高性能实时控制平台来实现主动容错控制。本项目综合考虑了非线性影响和压电器件故障因素，提出的振动主动容错控制方法会提高控制系统的鲁棒性、可靠性和促进结构振动主动控制的实用化进程，将具有重要的学术理论意义和工程应用价值。

中文关键词： 加筋板；振动；压电；非线性；主动容错控制

英文摘要： In order to solve some problems such as time delay, controller saturatation,harmonic response and sensors or actuators fault in the nonlinear vibration control of piezoelectric smart stiffened plate structure,a new active fault tolerant method for nonlinear vibration is put forward based on adaptive control algorithm including time delay and nonlinear disturbance compensator combined with active fault tolerant techonology. This project will select stiffened panel structure as the research object, establish the structure nonlinear dynamic model by Hamilton method, optimize the best location of sensors and actuators by a chaotic particle swarm method, design a new model reference adaptive control algorithm including feedforward control, feedback control and nonlinear disturbance compensator, identify sensor and actuator fault characteristics by wavelet packet and RBF neural network, produce adaptive control law and switch control code for different faults by LabVIEW software, and finally realize active fault tolerant vibratin control of smart panel through the NI Compact RIO real-time control platform. The active fault tolerant control method considering nonlinear effects and faults of piezoelectric device will improve the robustness and reliability of nonlinear control system ， promote the practice process for ac

英文关键词： stiffened plate；vibration；piezoelctric；nonlinear；active fault tolerant control