密闭式猪舍多环境因子调控系统设计及调控策略

发布时间：2018-06-17 08:13

本文选题：温度 + 环境控制　；参考：《农业工程学报》2017年06期

【摘要】：大多数猪舍环境调控是建立在传统控制方法基础上的单一环境变量控制系统,难以对具有多个变量的系统建立精确的数值模型。该文基于模糊控制理论,以温度偏差和温度偏差变化率作为输入量,以通风模式和加热模式为输出控制量建立温度控制器;以相对湿度偏差和氨气浓度偏差为输入量,以通风模式为输出控制量建立通风控制器;并对不同季节多环境因子进行模糊化及逻辑推理,生成不同季节的调控策略及规则,建立2个具有双输入变量的非线性控制系统,加入动态补偿控制,优化猪舍环境调控系统。该文以在美国普渡大学环境研究猪舍监测所得的数据对建立的方法进行了模拟验证。结果表明,舍内温度与设定值最大相对误差为5%,实现了舍内温度稳定控制;舍内相对湿度与设定值最大相对误差为6.3%,充分满足湿度控制要求;猪舍氨气浓度变化范围为2.0~3.7 mg/m~3,远远小于设定值9.1 mg/m~3。因此,该文提出的猪舍多环境因子模糊控制系统及策略,能够很好地满足猪舍环境控制要求,为解决寒冷冬季猪舍温度与通风调控提供可行的思路。
[Abstract]:Most pig house environmental control systems are single environmental variable control systems based on traditional control methods, so it is difficult to establish accurate numerical model for multi-variable systems. Based on fuzzy control theory, the temperature controller is established with temperature deviation and temperature deviation rate as input, ventilation mode and heating mode as output control quantity, relative humidity deviation and ammonia concentration deviation as input quantity. The ventilation controller is established by taking the ventilation mode as the output control quantity, and the fuzzy and logical reasoning is carried out for different seasons and many environmental factors, and the control strategies and rules for different seasons are generated, and two nonlinear control systems with double input variables are established. Dynamic compensation control is added to optimize the environment control system of pig house. In this paper, the established method is simulated and verified by the data obtained from the environmental research of pig house at Purdue University, USA. The results show that the maximum relative error between the house temperature and the set value is 5, which realizes the stable control of the house temperature, and the maximum relative error between the relative humidity and the set value is 6.3, which fully meets the requirement of humidity control. The range of ammonia concentration in pigsty is 2.0 ~ 3.7 mg / m ~ (3), which is much smaller than the set value of 9.1 mg / m ~ (3). Therefore, the fuzzy control system and strategy proposed in this paper can well meet the requirements of hog house environment control, and provide a feasible way to solve the cold winter hog shed temperature and ventilation control.
【作者单位】：黑龙江八一农垦大学信息技术学院;东北农业大学电气与信息学院;Department
【基金】：黑龙江省青年科学基金项目(QC2013C065,QC2014C078) 黑龙江八一农垦大学校内课题培育资助项目(XZR2015-10)
【分类号】：S828

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