A fuzzy logic feedback filter design tuned with PSO for L1 adaptive controller
作者：
Highlights：
• No simple way of tuning L1 adaptive controller feedback filter exists.
• Propose a Fuzzy-logic based approach for on-line tuning of the filter.
• Particle Swarm Optimization (PSO) is used to optimize the filter.
• Class of a strictly proper low pass filters with fixed structure is considered.
• Simulation demonstrate simplicity excellent performance and robustness.
摘要
•No simple way of tuning L1 adaptive controller feedback filter exists.•Propose a Fuzzy-logic based approach for on-line tuning of the filter.•Particle Swarm Optimization (PSO) is used to optimize the filter.•Class of a strictly proper low pass filters with fixed structure is considered.•Simulation demonstrate simplicity excellent performance and robustness.
论文关键词：Fuzzy logic control,Particle swarm optimization,L1 adaptive control,Filter tuning,Robustness,Adaptation
论文评审过程：Received 26 November 2014, Revised 13 August 2015, Accepted 15 August 2015, Available online 24 August 2015, Version of Record 2 September 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.08.026
