Enhancing performance and stability of gain-scheduling control system using evolutionary algorithms: A case study on transport aircraft

作者：

Highlights：

• A novel performance and stability-preserving gain-scheduling technique is proposed.

• The design objective is to achieve a smooth adaptation mechanism for the GS method.

• The effectiveness of the method was benchmarked on the longitudinal motion of B747.

• The results are achieved with two different algorithms.

• The comparison is assessed against the quality of the Pareto-front.

摘要

•A novel performance and stability-preserving gain-scheduling technique is proposed.•The design objective is to achieve a smooth adaptation mechanism for the GS method.•The effectiveness of the method was benchmarked on the longitudinal motion of B747.•The results are achieved with two different algorithms.•The comparison is assessed against the quality of the Pareto-front.

论文关键词：Smooth adaptation mechanism,Gain scheduling flight control,Evolutionary algorithms,Non-dominated optimal solutions,Longitudinal motion of B747

论文评审过程：Received 19 April 2022, Revised 13 September 2022, Accepted 15 September 2022, Available online 21 September 2022, Version of Record 26 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118859