Hierarchical Structural Analysis Method for Complex Equation-Oriented Models

Structural analysis is a method for verifying equation-oriented models in the design of industrial systems. Existing structural methods need flattening hierarchical into an equation system analysis. However, large-scale equations complex make difficult. Aimed to address issue, this study proposes by exploring relationship between singularities model and its components. This obtains singularity analyzing dummy constructed with parts from decomposing results Based on this, can be obtained layer-by-layer according their natural hierarchy. The reduce scale each achieve efficient very models. adaptively applied nonlinear-algebraic differential-algebraic main algorithms, application cases comparison existing are present paper. complexity show enhanced efficiency proposed Compared methods, time improved significantly