本文選題：MSMA + 多場耦合驅(qū)動性能��； 參考：《武漢科技大學》2015年碩士論文

【摘要】：磁控形狀記憶合金（Magnetic Shape Memory Alloy，簡稱MSMA）是近年來出現(xiàn)的一種新型功能材料，該材料在磁場作用下可獲得較大的磁感生應變，具有輸出應變大、響應速度快、能量密度高等優(yōu)良特性，，有望作為一種新型驅(qū)動材料應用于工業(yè)執(zhí)行器件。本文以單晶Ni2MnGa磁控形狀記憶合金為研究對象，對其力磁熱多場耦合作用下的驅(qū)動力學特性進行實驗研究與預測、并基于多場耦合實驗數(shù)據(jù)對MSMA驅(qū)動器磁控回路優(yōu)化設(shè)計及磁滯補償控制策略進行了初步探討。主要研究內(nèi)容如下： （1）對MSMA力磁熱多場耦合驅(qū)動力學性能進行實驗測試，總結(jié)預加應力、控制磁場及工作溫度與MSMA形變率之間的規(guī)律關(guān)系，并通過MSMA磁致形變機制對其進行了初步解釋。基于MSMA力磁熱多場耦合驅(qū)動實驗數(shù)據(jù)，利用BP神經(jīng)網(wǎng)絡建立了MSMA驅(qū)動行為預測模型，并通過遺傳算法對其進行適當優(yōu)化，實現(xiàn)了MSMA輸入變量（預加應力、控制磁場、工作溫度）與輸出變量（MSMA形變率）之間較好的對應關(guān)系。 （2）針對目前MSMA驅(qū)動器大多采用勵磁線圈產(chǎn)生控制磁場，驅(qū)動工作過程中勵磁線圈散發(fā)熱量容易導致MSMA驅(qū)動元件工作溫度升高，影響驅(qū)動器控制精度的問題。本文提出一種基于永磁體偏置磁場及溫度冷卻裝置的MSMA驅(qū)動器磁控回路優(yōu)化設(shè)計方案，并利用有限元分析軟件對磁控回路進行了電磁場、溫度場的仿真分析，仿真結(jié)果驗證了磁控回路設(shè)計的合理性。 （3）通過對MSMA驅(qū)動器進行建模，得出MSMA驅(qū)動器輸入電壓與輸出位移之間的關(guān)系式；基于MSMA驅(qū)動器固有的磁滯非線性，建立MSMA驅(qū)動器磁滯模型，采用PID與磁滯正模型的閉環(huán)控制以及PID與磁滯正逆模型混合的復合控制兩種控制策略對MSMA驅(qū)動器進行磁滯補償，結(jié)果表明：兩種控制策略均可大大減弱MSMA驅(qū)動器固有的磁滯非線性，但PID與磁滯正模型的閉環(huán)控制效果最佳。
[Abstract]:Magnetic shape memory alloy (MSMA) is a new type of functional material which has been developed in recent years. It can obtain large magnetically induced strain under the action of magnetic field. It has the advantages of large output strain, fast response speed and high energy density. It is expected to be used as a new type of driving material in industrial executive devices. In this paper, the driving force characteristics of single crystal Ni _ 2MnGa magnetically controlled shape memory alloy under the multi-field coupling are studied and predicted experimentally. Based on the experimental data of multi-field coupling, the optimization design and hysteresis compensation control strategy of MSMA driver magnetic control loop are discussed. The main research contents are as follows: (1) the mechanical properties of MSMA with magnetocalorimetric coupling drive are experimentally tested, and the relationship between pre-stress, control of magnetic field and working temperature and the deformation rate of MSMA is summarized. The MSMA magnetodeformed mechanism was preliminarily explained. Based on the experimental data of MSMA magnetocalorimetric multi-field coupling drive, the prediction model of MSMA driving behavior is established by using BP neural network, and the MSMA input variable (pre-stress, magnetic field control) is realized by genetic algorithm (GA). Working temperature) and output variable MSMA deformation rate). The heat emission from the excitation coil in the driving process can easily lead to the increase of the operating temperature of the MSMA driving element, which affects the control accuracy of the driver. In this paper, an optimal design scheme of magnetic control loop of MSMA driver based on permanent magnet bias magnetic field and temperature cooling device is proposed, and the simulation analysis of electromagnetic field and temperature field of magnetic control loop is carried out by using finite element analysis software. The simulation results verify the rationality of the design of the magnetic control loop. By modeling the MSMA driver, the relationship between the input voltage and the output displacement of the MSMA driver is obtained, which is based on the inherent hysteresis nonlinearity of the MSMA driver. The hysteresis model of MSMA driver is established. The closed loop control of pid and hysteresis positive model and the hybrid control of pid and hysteresis inverse model are used to compensate the hysteresis of MSMA driver. The results show that both control strategies can greatly reduce the inherent hysteresis nonlinearity of MSMA driver, but the closed-loop control effect of pid and hysteresis positive model is the best.
【學位授予單位】：武漢科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TB34

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本文編號：2044456