非确定性密闭舱室温湿度控制系统研究

Research on Temperature and Humidity Control System of Uncertainty Closed Cabin

摘要:

复杂的水下环境会对常规条件下的测量设备及传感器性能产生影响。因此模拟水下温湿度环境对于水下设备及传感器的性能测试及标定具有重要意义。针对非确定性密闭舱室温湿度精确控制需求，重点研究了一种温湿度动态控制系统。首先设计了温湿度控制系统的硬件结构和软件功能模块；其次，研究了一种P-Fuzzy-PID控制方法，并建立了温度的模糊PID控制模型，在不同温湿度范围内分别采用不同的控制方法实现分段控制，给出了温度和湿度的实际最终控制结果；最后，实现了温湿度控制系统的人机交互功能，并对控制结果进行了分析。实验结果表明本控制系统在实际应用过程中，能够满足非确定性密闭舱室温湿度控制的工程需要，相比传统控制方法，在控制响应快速性、控制精确性、人机交互友好性以及系统智能性等方面都具有一定优势。

Abstract:

The complex underwater environment affects the performance of measuring equipment and sensors under common conditions. Therefore, simulating the underwater temperature and humidity environment is of great significance for the performance testing and calibration of underwater equipment and sensors. In response to the need for precise control of cabin temperature and humidity in an indeterminate airtight cabin, this work focus on a dynamic control system for temperature and humidity. First, the hardware structure and software function modules of the temperature and humidity control system are designed. Secondly, a P-Fuzzy-PID control method is studied, and a fuzzy PID control model of temperature is established, and controls are used piecewise, the method realizes segmented control, gives the final control results of temperature and humidity in reality. Finally, this work realizes the human-computer interaction function of the temperature and humidity control system, and analyzes the control results. The experimental results show that the control system can meet the engineering needs of non-deterministic airtight cabin room temperature and humidity control in reality application process. Compared with traditional control methods, it has the advantages on rapid control response, control accuracy, human-computer interaction friendliness and system intelligence and other aspects have certain advantages.