There exist two intrinsic shortcomings on model predictive control (MPC) strategy, namely the extensive online calculation burden and the complex tuning process, which prevent MPC from being applied to a wider extent. To tackle these two drawbacks, different methods were proposed with majority of them treating these two issues independently. However, parameter tuning in fact has double-sided effects on both controller performance as well as real-time computational burden. Due to the lack of theoretical tools for globally analyzing the complex conflicts among MPC parameter tuning, controller performance optimization as well as computational burden easement, a look-up table based online parameter selection method is proposed in this paper to help a vehicle track its reference path under both the stability and computational capacity constraints. Matlab-CarSim conjoint simulation shows the effectiveness of the proposed strategy.

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