Development of multidisciplinary design optimization computing environment based on HLA for heavy machinery

To solve the global optimization problem in heavy machinery, a multidisciplinary design optimization (MDO) computing environment is developed based on high level architecture (HLA). The computing environment encapsulates the analysis optimization tools in relevant disciplinary fields to seek global optimization design based on a single disciplinary optimization. The goal of a minimum discrepancy between the subsystem-level design variables and system-level target values is reached by establishing multidisciplinary consistency constraints. The HLA-compliant optimization model realizes collaboration and interoperation between the disciplines through mapping the coupled state variables to corresponding published or subscribed attributes of an object class according to the rules of HLA. Finally, an example application of designing a hydraulic-powered support is presented to demonstrate the effectiveness of the optimization environment.