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作 者:许仁波[1] 周雨晨 段晶晶[1] XU Renbo;ZHOU Yuchen;DUAN Jingjing(Key Laboratory of Metallurgical Equipment and Control of Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China)
机构地区:[1]武汉科技大学冶金装备与控制教育部重点实验室,武汉430081
出 处:《现代制造工程》2023年第6期95-100,45,共7页Modern Manufacturing Engineering
基 金:湖北省自然科学基金重点项目(2015CFA114)。
摘 要:磁控形状记忆合金(Magnetic Shape Memory Alloy,MSMA)的磁滞非线性限制了MSMA驱动器的性能。利用多场耦合加载测量系统对MSMA的力-磁耦合特性进行了实验,通过控制加载变量,得到了MSMA磁感应强度-形变率曲线和外加应力-形变率曲线。结合实验数据,通过BP神经网络对MSMA形变特性进行建模,并分别提出了2种控制策略对模型进行了比较分析。仿真结果表明,基于PID与磁滞正模型的闭环控制策略可以很好地补偿MSMA的磁滞非线性,提高驱动器的控制精度,有益于MSMA在驱动器领域的进一步应用。The hysteresis nonlinearity of Magnetic Shape Memory Alloy(MSMA)limits the performance of MSMA actuator.The force-magnetic coupling characteristics of MSMA were experimented using a multi-field coupled loading measurement system,and the curves of MSMA deformation rate versus applied stress and magnetic field strength were obtained by controlling the loading variables.Based on the experimental data,the deformation characteristics of MSMA were modeled by BP neural network and two control strategies were proposed for comparison and analysis.The simulation results show that the closed-loop control strategy based on PID and hysteresis positive model can compensate the hysteresis nonlinearity of MSMA well and improve the control accuracy of the actuator,which is beneficial to the further application of MSMA in the field of actuator.
分 类 号:TH703[机械工程—仪器科学与技术]
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