Coordinated decentralised hybrid adaptive output feedback fuzzy control for a class of large-scale non-linear systems with strong interconnections
Coordinated decentralised hybrid adaptive output feedback fuzzy control for a class of large-scale non-linear systems with strong interconnections
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DOI：
10.1049/iet-cta.2008.0311
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发表时间：
2009-09
影响因子：
2.6
通讯作者：
Y. Huang;De-Qun Zhou;Shen-Ping Xiao;D. Lin
中科院分区：
文献类型：
--
作者：
Y. Huang;De-Qun Zhou;Shen-Ping Xiao;D. Lin
针对一类不确定非线性大系统，提出了一种新的分散混合自适应模糊控制（HAFC）方案。局部控制器被假定为共享关于它们各自的参考模型的先验信息，使得子系统之间的互连可以扩展到任意非线性。所提出的控制器是一个加权组合的间接和直接的自适应模糊控制器，和一个加权因子，这是调整之间的权衡植物的知识和控制知识，采用合计的控制努力。在所提出的整体控制算法下，输入增益从典型的正常数放宽到非线性函数。保证闭环大系统的跟踪误差收敛到原点的可调邻域。仿真结果表明，所提出的分散HAFC系统采取更小的控制努力，以及更好的跟踪性能。
A novel decentralised hybrid adaptive fuzzy control (HAFC) scheme is developed for a class of large-scale uncertain non-linear systems in this paper. The local controllers are assumed to share the prior information about their individual reference models such that the interconnections between subsystems can be extended to arbitrary non-linearities. The presented controller is a weighted combination of both indirect and direct adaptive fuzzy controllers, and a weighting factor, which is adjusted by the tradeoff between plant knowledge and control knowledge, is adopted to total up both the control efforts. Under the proposed overall control algorithm, the input gains are relaxed from typical positive constants to non-linear functions. The tracking errors of the closed-loop large-scale system are guaranteed to converge to tunable neighbourhoods of the origin. Simulation results substantiate that the proposed decentralised HAFC systems take on smaller control efforts as well as better tracking performance.