基于模糊控制理论的舱室通风散热系统设计

Design of cabin ventilation and heat dissipation system based on fuzzy control theory

舱室的空气质量与温度不仅会影响船员的生活质量,也会给舱室内的货物与运行元器件产生负面影响。为了保证舱室的温度与风量控制水平,优化设计基于模糊控制理论的舱室通风散热系统。根据舱室内元件发热原理以及空气流通机理,构建舱室散热数学模型。在舱室环境中装设温度传感器以及通风机、制冷机等执行器,根据传感器采集的环境参数,计算舱室通风量与散热量。改装舱室通风散热模糊控制器,在模糊控制理论的支持下,生成舱室通风散热控制指令,通过通风散热执行器的驱动,实现舱室的通风散热功能。将设计系统应用到实际的舱室环境中。与传统系统相比,优化设计系统的通风量产生误差降低了3.92cmm,空气密度控制误差降低了0.0055kg/m~3,且能够使舱室控制温度更接近目标值。

The air quality and temperature in the cabin will not only affect the life quality of the crew,but also have a negative impact on the cargo and operating components in the cabin.In order to ensure the cabin temperature and air volume control level,the cabin ventilation and heat dissipation system based on fuzzy control theory is optimized.According to the heating principle of components in the cabin and the mechanism of air circulation,the mathematical model of cabin heat dissipation is built.Install temperature sensors,ventilators,refrigerators and other actuators in the cabin environment,and calculate the ventilation and heat dissipation of the cabin according to the environmental parameters collected by the sensors.The cabin ventilation and heat dissipation fuzzy controller is refitted.With the support of fuzzy control theory,the cabin ventilation and heat dissipation control command is generated.The ventilation and heat dissipation function of the cabin is realized through the drive of the ventilation and heat dissipation actuator.The design system is applied to the actual cabin environment.Compared with the traditional system,the error generated by the optimized design system in ventilation volume is reduced by 3.92 cmm,and the air density control error is reduced by 0.0055 kg/m~3,The cabin temperature can be controlled closer to the target value.