Improved IPINP model for contamination control in fluid power systems under uncertainty

摘要

An improved interval-parameter integer nonlinear programming (IPINP) method is developed to optimize the filter management strategy of a fluid power system (FPS) with a bypass filtration system, which will consider the uncertainty factors of practical system, such as contaminant ingression / generation rates, mass of contaminant particles intercepted by filters, the relationship between contamination level and service life of pump. On the base of analyzing contamination levels under some given filter allocation strategies, the contaminant ingression/generation rates are obtained, and the contamination levels in different segments of the FPS are expressed by some iterative functions. Moreover, the system costs of filter maintenance and depreciation of hydraulic pump are formulated as two evaluation index factors respectively. The generated optimization results indicate that the developed model is feasible to offer further insight for decision makers to make optimal plans for filter allocation and replacements for FPSs.