基于PSO优化Fuzzy-PID精量灌溉控制系统设计
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摘要
精确控制农业灌溉中的灌溉精度和水肥比例,能够大大提高水肥的利用率。因此,基于传统PID控制、Fuzzy-PID控制两种控制算法的优缺点,进行PSO优化Fuzzy-PID控制。该控制算法能够有效解决大棚灌溉控制中的非线性、时变性和滞后性等问题。实验结果表明:该系统与传统PID控制相比,上升时间减少了4.10 s,超调量降低了14.57%,调节时间减少了27.4 s;相比于Fuzzy-PID控制,上升时间减少了4.30 s,超调量降低了0.37%,调节时间减少了20 s。该系统响应速度快、配比精度高、稳定,具有一定的应用价值。
Precise control of irrigation precision and water and fertilizer ratio in agricultural irrigation can greatly improve the utilization rate of water and fertilizer. Therefore, based on the advantages and disadvantages of traditional PID control and Fuzzy-PID control, the Fuzzy-PID control optimization based on PSO was conducted. The control algorithm can effectively solve the problems of nonlinearity, time-variability and hysteresis in greenhouse irrigation control. The experimental results show that, compared with the traditional PID control, the rise time of the system is reduced by 4.10 s, the overshoot is reduced by 14.57%, and the adjustment time is reduced by 27.4 s.Compared with Fuzzy-PID control, the rising time is reduced by 4.30 s, the overshoot is reduced by 0.37%, and the adjusting time is reduced by 20 s.The system has the advantages of quick response, high matching accuracy and stability, and has certain application value.
Precise control of irrigation precision and water and fertilizer ratio in agricultural irrigation can greatly improve the utilization rate of water and fertilizer. Therefore, based on the advantages and disadvantages of traditional PID control and Fuzzy-PID control, the Fuzzy-PID control optimization based on PSO was conducted. The control algorithm can effectively solve the problems of nonlinearity, time-variability and hysteresis in greenhouse irrigation control. The experimental results show that, compared with the traditional PID control, the rise time of the system is reduced by 4.10 s, the overshoot is reduced by 14.57%, and the adjustment time is reduced by 27.4 s.Compared with Fuzzy-PID control, the rising time is reduced by 4.30 s, the overshoot is reduced by 0.37%, and the adjusting time is reduced by 20 s.The system has the advantages of quick response, high matching accuracy and stability, and has certain application value.
引文
[1] 袁寿其,李红,王新坤.中国节水灌溉装备发展现状、问题、趋势与建议[J]. 排灌机械工程学报,2015,(1):78-92.
[2] 盛会,郭辉,张学军,等.浅谈智能灌溉技术应用现状[J]. 新疆农机化,2016,(1):23-27.
[3] SU Lin,YUAN Shouqi,ZHANG Bing. Intelligent Irrigation Fuzzy Control System Based on ARM7[J]. China Rural Water and Hydropower,2007,(12):28-31.
[4] 冯培存,魏正英,张育斌,等.基于云平台的智能精量水肥灌溉控制系统设计[J].中国农村水利水电,2018,(2):20-22,27.
[5] Schaefer C F,Anthony K,Krupa S,et al. PID:the Pathway Interaction Database[J]. Nucleic Acids Research, 2009,37(S1):D674-D679.
[6] 荆学东,潘翔,汪泽涛.农药喷洒四轴飞行器的模糊PID姿态控制[J].排灌机械工程学报,2018,36(5):454-460.
[7] 郝少杰,方康玲.基于模糊PID参数自整定的温度控制系统的研究[J].现代电子技术,2011,34(7):196-198.
[8] Lin Lijun,Wang Hongnan,Li Chuchen.Self-adjusting PID Control Based on Modified Grey Prediction Model[J].Journal of Xi’an U-niversity of Engineering Science and Technology,2007,21(6):818-820.
[9] 李扬,侯加林,苑进,等.基于改进PSO的模糊PID高枝修剪机械臂末端抑振算法与试验[J].农业工程学报,2017,33(10):49-58.
[10] 杨洋,张秋菊.粒子群算法自寻优模糊PID控制器设计[J].机械制造与自动化,2018,47(3):201-204.
[11] 朱红萍,罗隆福,朱红萍.基于ITAE指标的PID控制器参数优化设计[J].电气自动化,2009,31(6):37-39.
[2] 盛会,郭辉,张学军,等.浅谈智能灌溉技术应用现状[J]. 新疆农机化,2016,(1):23-27.
[3] SU Lin,YUAN Shouqi,ZHANG Bing. Intelligent Irrigation Fuzzy Control System Based on ARM7[J]. China Rural Water and Hydropower,2007,(12):28-31.
[4] 冯培存,魏正英,张育斌,等.基于云平台的智能精量水肥灌溉控制系统设计[J].中国农村水利水电,2018,(2):20-22,27.
[5] Schaefer C F,Anthony K,Krupa S,et al. PID:the Pathway Interaction Database[J]. Nucleic Acids Research, 2009,37(S1):D674-D679.
[6] 荆学东,潘翔,汪泽涛.农药喷洒四轴飞行器的模糊PID姿态控制[J].排灌机械工程学报,2018,36(5):454-460.
[7] 郝少杰,方康玲.基于模糊PID参数自整定的温度控制系统的研究[J].现代电子技术,2011,34(7):196-198.
[8] Lin Lijun,Wang Hongnan,Li Chuchen.Self-adjusting PID Control Based on Modified Grey Prediction Model[J].Journal of Xi’an U-niversity of Engineering Science and Technology,2007,21(6):818-820.
[9] 李扬,侯加林,苑进,等.基于改进PSO的模糊PID高枝修剪机械臂末端抑振算法与试验[J].农业工程学报,2017,33(10):49-58.
[10] 杨洋,张秋菊.粒子群算法自寻优模糊PID控制器设计[J].机械制造与自动化,2018,47(3):201-204.
[11] 朱红萍,罗隆福,朱红萍.基于ITAE指标的PID控制器参数优化设计[J].电气自动化,2009,31(6):37-39.