摘要
Abstract
Agricultural irrigation systems often operate under complex and variable conditions.Fluctuations in pump head cause the pump's characteristic frequencies in the time domain to shift.However,this shift is often obscured by significant background noise.Consequently,the control system fails to track these dynamic frequency variations promptly and accurately,leading to a degradation in control precision.To address this limitation,this paper proposes an adaptive self-tuning control strategy for agricultural pumps driven by Variable Frequency Drives(VFDs)under varying head conditions.By analyzing the pump's flow-rate variations under different heads,we identified the parameters affecting the flow rate and established a flow-rate function based on the pump affinity laws.This function defines the relationship between the pump's rotational speed and flow rate,forming the basis for the controller's adjustment law.A variable frequency speed controller was designed,and its parameters were self-tuned based on an identified model of the pump system.Experimental results demonstrate that the proposed method effectively stabilizes the flow rate,suppressing both the amplitude and frequency of fluctuations to a low level.The average overshoot across various working conditions is only 4.45%,indicating high control accuracy.Consequently,this approach enhances irrigation efficiency while concurrently lowering energy consumption and irrigation costs,promoting the sustainability of agricultural irrigation systems.关键词
水头变化工况/农田抽水泵/变频调速/自整定控制/控制器/传递函数Key words
working condition of water head variation/farmland water pump/variable frequency speed regulation/self-tuning control/controller/transfer function分类
农业科技
