用循环最小二乘法估算温室参数

    GREENHOUSE PARAMETER ESTIMATION BY RECURSIVE LEAST SQUARES

    • 摘要: 本研究系将最小二乘法扩展用于联机计算来估算温室的热特性参数,并引入具有指数加权衰减功能的“遗忘系数”,以缓慢消除老数据的影响。将此法应用于一个不通风温室的线性热模型,检验估算结果的准确性和遗忘系数的作用。此法的优点是能同步进行多个参数的估算,要求计算机的容量小,计算时间短。它适用于加热冷却系统的控制算法和设计。

       

      Abstract: A least squares method (LSM) with extensions for on-line calculations was used to estimate greenhouse thermal parameters. Because certain parameters of a greenhouse are time varying or influenced by operating conditions, a loss function with exponential weighting, a "forgetting factor," is introduced into the LSM to eliminate slowly the influence of old data.A linear thermal model of an unventilated greenhouse, the parameters of which were estimated by the LSM, was applied to study the estimating accuracy and the effects of the forgetting factor. This LSM has the advantages of estimating several parameters simultaneously, requiring little computer memory, and having short calculation time requirements. Therefore, it would be applicable to a control algorithm and a design of the heating/cooling system.

       

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