【摘要】 在Zigbee温室监控系统中,反馈数据较长的离散和延迟造成温室系统的温度等闭环控制的稳定性与稳态性能很差。为此,有最近的温室监控数据序列通过递推灰色预测算法计算出未来采样时刻的数据序列,然后将预测序列进行3次样条插值,得到光滑连续的样条插值函数,通过插值函数计算出温室监控数据连续的瞬时估计值,并反馈到控制器。预测插值反馈控制解决了反馈数据离散滞后问题,提高了Zigbee温室监控系统的控制稳定性和精确性,在很大程度上解决了困扰温室Zigbee无线监控网的电源瓶颈问题。更多还原

【Abstract】 In Zigbee-based greenhouse monitoring system(ZGMS),minutes delay of the discrete feedback data leads to bad performance of the closed-loop temperature control.With the latest greenhouse data sequence,data in future sampling times could be speculated by the recursive grey prediction method.Based on these predicted data sequence,cubic spline interpolation was computed and a smooth and continuous interpolation function could be got,afterwards the continuous current evaluated values of feedback were calculated and sent to the controller,then the discrete and lagging problem would be solved.The interpolation algorithm of predicted values can greatly enhance the control stability and accuracy of greenhouse environment,and effectively solve the power bottleneck problem that troubled ZGMS to a great extent.更多还原