水培阳台蔬菜机营养液电导率自适应控制
|
摘要
针对当前水培阳台蔬菜机营养液电导率(Electrical conductivity,EC)控制系统易受外界温度、湿度、光照强度和混合营养液中pH等因素干扰的问题,设计了营养液EC的模型参考自适应控制系统。基于物料守恒关系建立营养液EC控制系统数学模型,同时依据被控对象模型、响应时间和控制性能等指标选取参考模型,并采用李雅普诺夫稳定性原理设计系统的自适应律和控制律。仿真试验表明,系统可在40 s左右进入稳定状态,同时在外界温度、湿度、光照强度、混合营养液p H等的扰动下,依旧具有较好的鲁棒性(控制绝对误差<0. 1 m S/cm)。
The electrical conductivity( EC) control system of the hydroponic veranda vegetable machine nutrient solution is easily interfered by external temperature,humidity,light intensity and the pH of mixed solution,so the model reference adaptive control system of nutrient solution EC was designed. The mathematical model of EC regulation system of nutrient solution was established by the relationship of conservation of materials. Meanwhile,the reference model was selected by these indicators of the controlled object model,response time and control performance etc,and the adaptive law and control law of the system were designed by Lyapunov stability principle. The system simulation test showed that the system can enter the stable state of EC about 40 seconds under the disturbance of external temperature,humidity,light intensity and pH of the mixed solution. The system had a good robustness( absolute error was less than 0. 1 m S/cm).
The electrical conductivity( EC) control system of the hydroponic veranda vegetable machine nutrient solution is easily interfered by external temperature,humidity,light intensity and the pH of mixed solution,so the model reference adaptive control system of nutrient solution EC was designed. The mathematical model of EC regulation system of nutrient solution was established by the relationship of conservation of materials. Meanwhile,the reference model was selected by these indicators of the controlled object model,response time and control performance etc,and the adaptive law and control law of the system were designed by Lyapunov stability principle. The system simulation test showed that the system can enter the stable state of EC about 40 seconds under the disturbance of external temperature,humidity,light intensity and pH of the mixed solution. The system had a good robustness( absolute error was less than 0. 1 m S/cm).
引文
[1]刘婧.无土栽培技术的应用与发展[J].北方园艺,2012(16):204-206.
[2]高锐涛,杨洲,曹玉华,等.阳台蔬菜种植设备的优化设计[J].机械设计,2013(5):116-118.
[3]李莉,王俊衡,孟繁佳,等.基于二次混合机构的营养液调控模型与PID算法实现[J].农业工程学报,2016,32(22):100-106.
[4]李颀,武付闯.基于云模型推理的施肥机p H值和电导率解耦控制[J].浙江农业学报,2017,27(9):1172-1178.
[5]袁巧霞,朱端卫,武雅娟.温度、水分和施氮量对温室土壤p H及电导率的耦合作用[J].应用生态学报,2009,20(5):1112-1117.
[6]牛寅,张侃谕.轮灌条件下灌溉施肥系统混肥过程变论域模糊控制[J].农业机械学报,2016,47(3):45-52.
[7] LEKSONO E,PRATIKTO. Adaptive speed control of induction motor with DSP implementation[C]//Industrial electronics conference. Piscataway:IEEE,2004:1423-1428.
[8]袁洪波,李莉,王俊衡,等.温室水肥一体化营养液调控装备设计与试验[J].农业工程学报,2016,32(8):27-32.
[9]方强,陈立鹏,费少华,等.定位器模型参考自适应控制系统设计[J].浙江大学学报,2013,47(12):2234-2242.
[10] MONHA KRISHNA S,FEBIN DAYA J L. MRAS speed estimator with fuzzy and PI stator resistance adaptation for sensorless induction motor drives using RT-lab[J].Perspectives in Science,2016,8(4):121-126.
[11]毛罕平,胡云辉,左志宇,等.设施栽培中母液加入量与营养液EC/p H值的回归模型[J].农机化研究,2012,34(2):149-152.
[2]高锐涛,杨洲,曹玉华,等.阳台蔬菜种植设备的优化设计[J].机械设计,2013(5):116-118.
[3]李莉,王俊衡,孟繁佳,等.基于二次混合机构的营养液调控模型与PID算法实现[J].农业工程学报,2016,32(22):100-106.
[4]李颀,武付闯.基于云模型推理的施肥机p H值和电导率解耦控制[J].浙江农业学报,2017,27(9):1172-1178.
[5]袁巧霞,朱端卫,武雅娟.温度、水分和施氮量对温室土壤p H及电导率的耦合作用[J].应用生态学报,2009,20(5):1112-1117.
[6]牛寅,张侃谕.轮灌条件下灌溉施肥系统混肥过程变论域模糊控制[J].农业机械学报,2016,47(3):45-52.
[7] LEKSONO E,PRATIKTO. Adaptive speed control of induction motor with DSP implementation[C]//Industrial electronics conference. Piscataway:IEEE,2004:1423-1428.
[8]袁洪波,李莉,王俊衡,等.温室水肥一体化营养液调控装备设计与试验[J].农业工程学报,2016,32(8):27-32.
[9]方强,陈立鹏,费少华,等.定位器模型参考自适应控制系统设计[J].浙江大学学报,2013,47(12):2234-2242.
[10] MONHA KRISHNA S,FEBIN DAYA J L. MRAS speed estimator with fuzzy and PI stator resistance adaptation for sensorless induction motor drives using RT-lab[J].Perspectives in Science,2016,8(4):121-126.
[11]毛罕平,胡云辉,左志宇,等.设施栽培中母液加入量与营养液EC/p H值的回归模型[J].农机化研究,2012,34(2):149-152.