Optimal selection of weighting functions for H∞ active anti-roll bar control system on trucks

Abstract

   The objective of an active anti-roll bar system of trucks is to maximize roll stability to prevent rollover in dangerous cases. However, such a performance objective must be balanced with the energy consumption of the anti-roll bar system, which is not a trivial task. In this paper, Genetic Algorithms (GAs) are proposed to find optimal weighting functions for the H∞ control synthesis of the active antiroll bar system. Such a general procedure is applied to the case of active anti-roll bar control system on trucks. Thanks to GAs, the conflicting objectives between roll stability and torques generated are handled using one high level parameter only. The multi-criterion optimization solution is illustrated via the Pareto frontier. Simulations, performed in the frequency domain, emphasize the efficiency of the proposed method.