采用FPILP的过滤器优化配置研究

Research on Optimum Configuration of Filters Based on FPILP

以典型单回路液压系统为研究对象,在考虑诸多模糊参数的情况下,建立基于模糊参数的整数线性规划(FPILP)方法的液压系统过滤器配置决策模型,并将FPILP方法所求得的结果与确定性及区间参数规划方法进行对比和分析。仿真研究表明,在污染物侵入/产生率水平为重度时模糊优化能够有效降低系统成本最优值;同时,吸油路和回油路过滤器均能够以较低成本降低系统污染度,在污染物侵入/产生率较高时必须将吸油路过滤器和回油路过滤器同时使用才可使系统总成本值达到最低,并获得最长的过滤器更换周期。

Considering lots of fuzzy factors in representative single-circuit hydraulic system, an optimum decision-making model for allocation of the filters was established by fuzzy-parameter integer linear programming （FPILP）. The results obtained by fuzzy method and certain and interval optimization method were compared. The simulation results show that the total design and operation cost of filtration system can be reduced effectively by fuzzy optimization method when contaminants intruded/generated rate was high ; contamination level can be reduced with lower cost by using suction or replacement filters, and the lowest cost of hydraulic system and the longest replacing period of filters can be obtained by allocating both suction and replacement filters.