Optimizing Model Predictive Control horizons using Genetic Algorithm for Motion Cueing Algorithm

作者：

Highlights：

• A method is proposed for optimizing control and prediction horizons of MPC-based MCA.

• The previous trial-and error process for selecting MPC horizons is eliminated.

• A GA-based MCA is applied to improve the output and reduce computational load.

• The comparison of output results show the superiority of the proposed method.

摘要

•A method is proposed for optimizing control and prediction horizons of MPC-based MCA.•The previous trial-and error process for selecting MPC horizons is eliminated.•A GA-based MCA is applied to improve the output and reduce computational load.•The comparison of output results show the superiority of the proposed method.

论文关键词：Motion Cueing Algorithm,Model Predictive Control,Genetic Algorithm,Optimization

论文评审过程：Received 10 July 2016, Revised 1 September 2017, Accepted 2 September 2017, Available online 6 September 2017, Version of Record 22 September 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.004