Collaborative Optimization and Application of Active Suspension

This paper addresses the current state of collaborative optimization (CO) and its application to active suspension system. CO is a bi-level optimization architecture, which preserves the autonomy to individual disciplines. Through this decomposition, CO can solve the loose-composite problem. When it comes to strong-composite cases, CO will have difficulty in convergence because of the form of system-level constraint in its structure. In order to change this nonlinear phenomenon, we use Response Surface Model (RSM) to modify the interdisciplinary discrepancy. Central Composite Design method is used to select the experiment point to construct the RSM.

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