期刊
6TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT
卷 139, 期 -, 页码 372-380出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2018.10.277
关键词
Fuzzy control; model-free control; grey wolf optimization; experimental results; twin rotor aerodynamic systems
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.
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