基于粒子群优化模糊系统的水田耕整机功耗建模

摘要

On the basis of the characteristics of multifunction tillage machine, fuzzy system upon particle swarm algorithm ( PSO) was adopted to model power consumption.Power consumption test was designed and carried out on a new type of multifunction tillage machine in paddy field.From the orthogonal test, training data and test data were obtained.By training data, fuzzy system based on basic PSO algorithm and PSO algorithm with inertia factor was trained respectively. In order to verify fuzzy system, one kind of experience formula of power consumption was obtained through regression a-nalysis.By testing data, the three models obtained by each method were tested respectively.The prediction effect of the fuzzy system trained by PSO algorithm with inertia factor was better than other methods ,whose average value of relative error was less than 11%.The prediction results showed that the fuzzy system trained by PSO algorithm with inertia factor was reliable to model power consumption.%针对耕整机功耗影响因素多且相互之间为复杂非线性关系的问题，提出了用模糊系统进行功耗建模的方法。以水田耕耙平地机为例，设计多功能耕整机功率消耗试验，由试验得到功耗的训练数据和测试数据。根据训练数据分别运用基本粒子群算法和带惯性因子的粒子群算法训练模糊系统，得到两种耕整机功耗预测模型。为验证模糊系统的可行性，同时用回归分析法对功耗进行建模，采用线性全因子多项式形式的回归函数，得到功耗经验公式。运用测试数据对建立的3种功耗模型进行测试，结果显示：采用带惯性因子的粒子群算法建立的模糊系统模型预测结果相对误差平均值小于11％，优于另外两种模型，用该方法进行水田耕整机功率消耗建模是可行的。