人工模拟环境试验中温湿度改进控制算法研究
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摘要
电工电子产品的应用领域日益广阔,其所经受的环境条件也越来越复杂,因而开展电工电子产品的人工模拟环境试验对于保证其质量和可靠性具有重要的意义。温度、湿度做为两种主要的环境应力,由其引起的失效已占所有环境应力引起的失效的大部分,因而温湿度组合试验便成为了环境试验的重要组成部分。温度、湿度环境试验一般要求较高,试验过程中需对各种变量进行控制,但传统的控制方式存在一定的不足,因此,针对温湿度环境试验中的热量、加温量和制冷量的控制算法提出了一种新的改进方法。首先,采用基于专家经验和模糊控制的算法来计算各变量,并创制性地在控制算法中引入了性能辨识环形了,以温湿度控制回路输出作为性能辨识环节的输入条件。然后,通过建立一种运算规则,计算出校正控制量,迭加在制冷量控制输出量上,这样便使系统具有了自适应机制和自寻优调节制冷量的功能,从而大大地提高了温湿度试验系统的综合性能。
The application of electrical and electronic products is becoming more and more extensive, and the environmental conditions they experience are becoming more and more complex. Therefore, it is of great significance to carry out artificial simulation environment test for electrical and electronical products to ensure their quality and reliability. Temperature and humidity are two major environmental stresses, and the failures caused by them account for most of the failures caused by all environmental stresses. Therefore, the temperature and humidity test become an important part of environment test. The requirements of temperature and humidity tests are generally high, and various variables need to be controlled during the test. However, the traditional control method has some deficiencies. Therefore, a new improved method of control algorithm for heating capacity, humidification and cooling capacity is proposed. The algorithm based on expert experience and fuzzy control is used to calculate various variables, and the performance identification link is introduced into the control algorithm creatively. The output of the temperature and humidity control loop is used as the input condition of the performance identification link. By establishing an operation rule, the corrected control quantity is calculated and superimposed on the control output of cooling capacity, so that the system has an adaptive mechanism and the function of self-optimiziang and regulating the cooling capactity,which greatly improves the comprehensive performance of the temperature and humidity test system.
The application of electrical and electronic products is becoming more and more extensive, and the environmental conditions they experience are becoming more and more complex. Therefore, it is of great significance to carry out artificial simulation environment test for electrical and electronical products to ensure their quality and reliability. Temperature and humidity are two major environmental stresses, and the failures caused by them account for most of the failures caused by all environmental stresses. Therefore, the temperature and humidity test become an important part of environment test. The requirements of temperature and humidity tests are generally high, and various variables need to be controlled during the test. However, the traditional control method has some deficiencies. Therefore, a new improved method of control algorithm for heating capacity, humidification and cooling capacity is proposed. The algorithm based on expert experience and fuzzy control is used to calculate various variables, and the performance identification link is introduced into the control algorithm creatively. The output of the temperature and humidity control loop is used as the input condition of the performance identification link. By establishing an operation rule, the corrected control quantity is calculated and superimposed on the control output of cooling capacity, so that the system has an adaptive mechanism and the function of self-optimiziang and regulating the cooling capactity,which greatly improves the comprehensive performance of the temperature and humidity test system.
引文
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[3]中国人民解放军总装备部电子信息基础部.军用装备实验室环境试验方法第9部分:湿热试验:GJB 150.9A-2009[S].
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[2]全国电工电子产品环境条件与环境试验标准技术委员会.电工电子产品环境试验第2部分:试验方法试验Db交弯湿热(12 h+12 h循环):GB/T 2423.4-2008[S].北京:中国标准出版社,2009.
[3]中国人民解放军总装备部电子信息基础部.军用装备实验室环境试验方法第9部分:湿热试验:GJB 150.9A-2009[S].
[4]中国机械工业联合会.湿热试验箱技术条件:GB/T10586-2006[S].北京:中国标准出版社,2006.
[5]罗兵,甘俊英,张建民.智能控制技术[M].北京:清华大学出版社,2011.
[6]邹根南.制冷装置及其自动化[M].北京:机械工业出版社,1987.
[7]石家泰,陈芝久,朱寅生.制冷空调的自动调节[M].北京:国防工业出版社,1980.
[8]陈芝久.制冷机自动化发展方向[J].流体工程,1986(9):52-57;64-66.
[9]吴建强,姜三勇.可编程控制器原理及其应用[M].哈尔滨:哈尔滨工业大学出版社,1998.
[10]章卫国.模糊控制理论与应用[M].西安:西北工业大学出版社,2000.
[11]窦振中.模糊逻辑控制技术及应用[M].北京:北京航空航天大学出版社,1995.