基于ARM的半导体制冷器自学习智能测控系统

发布时间：2018-03-09 14:41

本文选题：半导体制冷器　切入点：有限元分析　出处：《南京信息工程大学》2014年硕士论文　论文类型：学位论文

【摘要】：在军事、医疗、科学研究中,常需要在小空间内实现高精度低温环境,满足特定的应用场合,传统机械式压缩制冷由于其体积大、能耗高、噪音大、不易控制等缺点,不能够满足上述制冷要求。基于帕尔贴效应的半导体制冷技术具有体积小、降温快、无污染、精度高等特点,是应用在这一领域的一种优选方案。但是,现今在如何发挥半导体最佳制冷效率、控制制冷精度以及延长制冷器使用寿命方面还不够成熟。本文以小型半导体制冷器为研究对象,在提高半导体制冷速度、制冷精度与稳定性、发挥最佳制冷效率、延长半导体工作寿命四个方面入手对半导体制冷性能与自学习测控算法进行研究。本文首先介绍了制冷器的研究现状,分析了半导体制冷的基本原理,对半导体制冷器进行了不同工作状态下的热分析计算,得到其工况最优设计方案。再通过对半导体散热器在不同功率下温升大小以及温升时间常数的模拟数值分析,对半导体制冷器进行制冷方案设计。论文重点通过模拟数值分析与实际实验数据,制定半导体制冷器自学习测控算法,继而结合PID控制算法,设计一套自学习PID控制算法,以使半导体制冷器在最快速度降温的条件下实现高稳定性、高精度的恒温控制。本文针对半导体制冷器设计的自学习测控算法在一定程度上优化了半导体制冷器工作性能并延长其使用寿命,有望在实际工程中得到应用。
[Abstract]:In military, medical and scientific research, it is often necessary to realize high precision and low temperature environment in small space to meet the specific application situation. Traditional mechanical compression refrigeration has the disadvantages of large volume, high energy consumption, large noise, difficult to control and so on. The semiconductor refrigeration technology based on Partil effect has the advantages of small volume, fast cooling, no pollution, high precision and so on. Nowadays, it is not mature enough to give full play to the best efficiency of semiconductor refrigeration, to control the refrigeration precision and to prolong the service life of the cooler. This paper takes the small semiconductor cooler as the research object to improve the speed of semiconductor refrigeration. The refrigeration performance and self-learning measurement and control algorithm are studied from four aspects: refrigeration accuracy and stability, optimal refrigeration efficiency and prolongation of semiconductor working life. This paper first introduces the research status of the cooler, analyzes the basic principle of the semiconductor refrigeration, and calculates the thermal analysis of the semiconductor cooler under different working conditions. The optimal design scheme is obtained, and then the cooling scheme of semiconductor cooler is designed by numerical simulation of temperature rise and temperature rise time constant under different power. In this paper, the self-learning measurement and control algorithm of semiconductor cooler is developed by numerical simulation and experimental data, and then a set of self-learning PID control algorithm is designed by combining with PID control algorithm. In order to realize the high stability and high precision constant temperature control of semiconductor cooler under the condition of the fastest speed cooling. In this paper, the self-learning measurement and control algorithm designed for semiconductor refrigerators is expected to be applied in practical engineering, which optimizes the performance of semiconductor refrigerators and prolongs their service life to a certain extent.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB657

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