Second Order Intelligent Proportional-Integral Fuzzy Control of Twin Rotor Aerodynamic Systems

被引:74
作者
Roman, Raul-Cristian [1 ]
Precup, Radu-Emil [1 ]
David, Radu-Codrut [1 ]
机构
[1] Politehn Univ Timisoara, Dept Automat & Appl Informat, Bd V Parvan 2, Timisoara 300223, Romania
来源
6TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT | 2018年 / 139卷
关键词
Fuzzy control; model-free control; grey wolf optimization; experimental results; twin rotor aerodynamic systems; DISTURBANCE REJECTION CONTROL;
D O I
10.1016/j.procs.2018.10.277
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper proposes a hybrid controller that consists of a second order data driven Model Free Control (MFC), also known as intelligent proportional integral (iPI), and a Takagi-Sugeno Fuzzy (TSF) logic controller for nonlinear Multi Input Multi Output (MIMO) twin rotor aerodynamic systems (TRASs). The pitch position control is carried out using a single input single output control system structure. The hybrid controller (the second order MFC algorithm and the TSF logic controller) is referred to as second order MFC TSF controller. The performance of the control system structure (CSS) with the new second order MFC TSF controller is compared with the performance of a CSS with the second order MFC controller, which is optimally tuned in a model-based manner by a Grey Wolf Optimizer algorithm. Experimental validation results on a nonlinear TRAS laboratory equipment are included. (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:372 / 380
页数:9
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