| 基于SOA优化PID控制参数的智能灌溉控制策略研究 |
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| 引用本文： | 许景辉,王雷,谭小强,王一琛,赵钟声,邵明烨.基于SOA优化PID控制参数的智能灌溉控制策略研究[J].农业机械学报,2020,51(4):261-267. |
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| 作者姓名： | 许景辉 王雷 谭小强 王一琛 赵钟声 邵明烨 |
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| 作者单位： | 西北农林科技大学旱区农业水土工程教育部重点实验室,陕西杨凌712100;西北农林科技大学水利与建筑工程学院,陕西杨凌712100;西北农林科技大学水利与建筑工程学院,陕西杨凌712100;西北农林科技大学机械与电子工程学院,陕西杨凌712100 |
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| 基金项目： | 国家重点研发计划项目(2017YFC0403203)和陕西水利科技计划项目(2014slkj-18) |
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| 摘 要： | 为解决智能灌溉系统中水泵运行的不稳定问题，基于人群搜索优化算法（Seeker optimization algorithm，SOA）实现了PID（Proportion integration differentiation）参数的自动优化。该优化算法能够有效解决智能灌溉系统水泵控制中的非线性、时变性和滞后性等问题。为验证SOA优化PID控制的实际效果，与PSO（Particle swarm optimization）算法和GA（Genetic algorithms）算法优化的PID控制进行比较。仿真实验结果表明，基于SOA优化的PID控制响应时间短、超调量小，稳态过程没有振荡。因此，适用于智能灌溉系统中的水泵控制。
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| 关 键 词： | 智能灌溉 PID控制 SOA优化算法 水泵控制 |
| 收稿时间： | 2019/8/1 0:00:00 |
Application of PID Control Based on SOA Optimization in Intelligent Irrigation System |
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| XU Jinghui,WANG Lei,TAN Xiaoqiang,WANG Yichen,ZHAO Zhongsheng and SHAO Mingye.Application of PID Control Based on SOA Optimization in Intelligent Irrigation System[J].Transactions of the Chinese Society of Agricultural Machinery,2020,51(4):261-267. |
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| Authors: | XU Jinghui WANG Lei TAN Xiaoqiang WANG Yichen ZHAO Zhongsheng and SHAO Mingye |
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| Institution: | Northwest A&F University,Northwest A&F University,Northwest A&F University,Northwest A&F University,Northwest A&F University and Northwest A&F University |
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| Abstract: | The control of water pump water supply is an important part of the intelligent irrigation control system. The water supply in the water supply process is beneficial to the development of crop roots and the absorption of minerals in the soil within the optimal control range. In the intelligent irrigation control, due to the nonlinear, time varying and hysteresis problems of the pump control, the traditional proportion integration differentiation (PID) control is difficult to achieve good control effects. In order to solve the instability problem of pump control in intelligent irrigation system, based on the traditional PID control algorithm, the seeker optimization algorithm (SOA) was used to optimize PID control. The results showed that the optimal control algorithm can effectively solve the problems of nonlinearity, time varying and hysteresis in the control of intelligent irrigation pumps. In order to verify the actual effect of SOA optimization PID control, it was compared with particle swarm optimization (PSO) optimized PID control and genetic algorithms (GA) optimized PID control. The experimental simulation results showed that the PID control based on SOA optimization had the shortest response time, smallest overshoot, and no oscillation in the steady state process. Therefore, it was suitable for pump control in intelligent irrigation systems. |
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| Keywords: | intelligent irrigation PID control SOA pump control |
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