摘要
研究了压电智能板结构的振动预测控制问题,在导出其有限元运动微分方程后,对其进行解耦,在状态空间中利用最小实现和平衡降阶法对其进行降阶处理,据此降阶模型设计了模型预测控制器,将其应用于对原系统的振动控制,并讨论了预测步长和控制步长对控制性能的影响。以智能悬臂板结构为例,求出了相应的预测控制器,仿真结果表明它成功地实现了压电智能板结构对干扰的抑制。
Model predictive vibration control of intelligent plate is investigated in this paper.The first step is the uncoupling of the finite element equations after it is deduced. The second step is using methods of minimal realization and balancing reduction in state-space models to reduce its order, and then with the reduced-model designing a model prediction controller applied to vibration control of the original system. Finally, its influence on the performance of the different predictive and control horizon length is discussed. This process is proved feasible in an example about an intelligent cantilever plate.
出处
《机械科学与技术》
CSCD
北大核心
2005年第4期393-396,共4页
Mechanical Science and Technology for Aerospace Engineering
基金
陕西省自然科学基金项目(D7010418)资助
关键词
智能板结构
模型降阶
主动控制
预测控制
Intelligent plate
Model truncation
Active control
Predictive control
