基于Smith-模糊PID控制的变量喷药系统设计及试验
Design and experiment of variable rate spaying system on Smith-Fuzzy PID control
查看参考文献31篇
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文摘
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为实现精准变量喷药技术,该文设计了旁路节流式变量喷药控制系统用于变量喷药和幅宽调节控制,运用流体网络理论建立系统的数学模型,将模糊PID控制与基于喷药流体网络模型的Smith预估控制结合起来喷药量的调节,并对国产3W-250型喷杆喷雾机进行改造并构建喷药试验平台。试验结果表明,基于喷药流体网络模型的 Smith-模糊 PID 控制算法的动态响应更快,降低了变量喷药系统滞后性和非线性的不利影响,超调量小于13.1%,稳态误差小于3.52%,且具有较好的适应能力和鲁棒性,为精准变量喷药控制提供一种实现方法。 |
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其他语种文摘
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To achieve variable rate spraying, a pressure-based variable rate spaying system was designed to control the spray rate by adjusting the opening percentage of electrical regulating valve at the bypass pipeline. This returns excessive flow discharged by a piston diaphragm pump according to the flow rate of the spray pipeline, and adjusts the boom width by shutting ON or OFF selected solenoid valves at each section. The ARM9 based variable rate controller was designed to measure the system pressure and flow rate, and generate the control signal. A commercial 3W-250 boom sprayer with 12 flat fan spray nozzles was modified to a variable rate sprayer and mounted behind the LOVAL TA800 tractor. The 12 nozzles were divided to 6 boom sections and the pump was derived by the power take-off shaft of the tractor. The variable rate sprayer was represented by a directed graph of fluid network that consists of a set of junctions, called nodes, and certain lines joining a pair of nodes, called the edges. To reduce the complexity of the spray network, the fluid resistance of the short pipeline was ignored, some nodes were merged, one virtual node was increased to represent the external atmospheric pressure, and finally the graph of the variable rate spraying system involved 6 nodes and 12 edges. The flow rate and pressure distribution within the spray network under, steady state conditions was described by the junction of continuity equations and the loop energy equations. The electrical regulating actuator was also modelled to describe the relationship between the voltage control signal and the valve opening percentage. The fuzzy-PID control algorithm was adopted for the nonlinear, time-varying variable rate spraying system to achieve better performance than with the conventional PID control algorithm. The fuzzy control algorithm was used for tuning the PID parameters online. The Smith predictor based on the system model was introduced to overcome the side effects of long time-lag that included the response delay of the flow meter at a low spray rate and the electrical regulating valve and to stabilize the delay of the spray rate. The variable rate spraying experiments were accomplished at 3 different desired nozzle spray rates which are 0.864, 0.72 and 0.576 m~3/h for the Smith-Fuzzy PID control and the Fuzzy PID control algorithm without boom section control while the tractor was running at an idle speed of approximately 1 m/s. The results showed that the Smith-Fuzzy PID control algorithm has the better dynamic response and the higher application accuracy than the PID control algorithm, the overshoot and the steady mean absolute error of the former control algorithm were less than 13.1% and 3.52% respectively, and both decreased with the raise of the desired spray rate. The boom section control experiments were also conducted for the Smith-Fuzzy PID control and the PID control algorithm. Two boom sections were turned off at the same time while the spray rate stabilized at a desired spray rate for each nozzle is 0.06 m~3/h. The results revealed that the dynamic response curve of the former algorithm had a shorter response time and no overshoot after the two boom sections shut off, and the mean absolute error was 0.017 m~3/h and 0.0185 m~3/h respectively. |
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来源
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农业工程学报
,2014,30(8):56-64 【核心库】
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DOI
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10.3969/j.issn.1002-6819.2014.08.007
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关键词
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农业机械
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喷药
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模糊控制
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Smith预估控制
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流体网络
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地址
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中国科学院沈阳自动化研究所, 中国科学院网络化控制系统重点实验室, 沈阳, 110016
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1002-6819 |
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学科
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自动化技术、计算机技术 |
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基金
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国家863计划
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文献收藏号
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CSCD:5129010
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31
共2页
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