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智能化是当今世界的发展趋势。智能材料结构作为研究热点之一,应用于航空、航天、生物及医药等诸多领域。智能作动器与智能传感器是智能材料结构的两个主要研究方向。迟滞现象是存在于大量智能材料中的非线性现象,对整个控制系统可能带来不良影响,如稳定性的恶化甚至丧失等。Preisach模型常用于智能材料中针对迟滞现象的建模。基于一阶滞回曲线获得智能作动器的输入输出数据,从理论上研究了经典Preisach模型两种工程上易实现的辨识方法,并应用到一种真实的智能作动器——WIDS-IA压电型作动器,仿真与实验结果表明,两种辨识方法均有效,且误差在同一数量级。为广泛存在迟滞非线性的智能作动器建模提供了理论依据,并具有工程实用价值。
Intelligence is the trend of development in today’s world. As one of the research hotspots, intelligent material structure is applied in many fields such as aviation, aerospace, biology and medicine. Smart actuators and smart sensors are the two main research directions for smart material structures. Hysteresis is a non-linear phenomenon existing in a large number of intelligent materials, which may have adverse effects on the entire control system, such as deterioration or even loss of stability. The Preisach model is commonly used to model hysteresis in smart materials. Based on the first-order hysteresis curve, the input and output data of intelligent actuators are obtained. Two easily identifiable methods of classical Preisach model are studied theoretically and applied to a real intelligent actuator - WIDS-IA Piezoelectric actuators, simulation and experimental results show that the two identification methods are valid, and the error in the same order of magnitude. It provides theoretical basis for the modeling of hysteretic non-linear intelligent actuators and has engineering practical value.