首页 /研究 /An Adaptive-Fuzzy Fractional-Order Sliding Mode Controller Design for an Unmanned Vehicle
OTHER

An Adaptive-Fuzzy Fractional-Order Sliding Mode Controller Design for an Unmanned Vehicle

Kamil Orman, Kaan Can, Abdullah Başçi, Adnan Derdiyok

发表年份
2018
引用次数
8

摘要

In this paper, speed and direction angle of a four wheel skid-steered mobile robot (4 WD SSMR) has been controlled via adaptive-fuzzy fractional-order sliding mode controller (AFFOSMC) under different speed and angle reference signals. The hybrid control method is designed to combine all advantages that controllers have such as flexibility realized by fractional order calculation, robustness to disturbances and parameters variations provided by sliding mode controller (SMC) as well as adaptation of G constant of SMC via fuzzy controller, simultaneously. Also, a fractional-order SMC is applied to the system for the same reference speed and angle references to show the effects of the changes and adaptation of G constant. Experimental results show that the AFFOSMC has better trajectory tracking performance than the FOSMC.DOI: http://dx.doi.org/10.5755/j01.eie.24.2.20630

关键词

Control theory (sociology)Robustness (evolution)Fuzzy logicController (irrigation)Sliding mode controlTrajectoryRobust controlComputer scienceControl engineeringEngineering

相关论文

查看 OTHER 分类全部论文