双旋翼气动系统的模糊控制结构

Raul-Cristian Roman, R. Precup, M. Radac, E. Petriu
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引用次数: 4

摘要

本文提出了Takagi-Sugeno模糊(TSF)控制器的结构,并给出了用于双转子气动系统(TRASs)方位和俯仰位置控制的结构设计方法。方位角和俯仰位置分别使用单输入-单输出(SISO)控制系统结构进行控制。提出了两种比例-积分-导数(PID) TSF控制器用于方位位置控制,它们是围绕线性PID控制器结构构建的。通过对线性PI控制器和PID控制器结构进行模糊化,提出了一种PI控制器和一种PID TSF控制器用于螺距位置控制。在非线性TRAS实验设备上对新型TFS控制器进行了验证。将新TFS控制器与采用元启发式引力搜索算法优化器调谐的两种线性控制器进行了性能比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Takagi-Sugeno fuzzy controller structures for twin rotor aerodynamic systems
This paper proposes structures of Takagi-Sugeno fuzzy (TSF) controllers along with approaches to design these structures dedicated to the azimuth and pitch position control of twin rotor aerodynamic systems (TRASs). The azimuth and the pitch positions are separately controlled using Single Input-Single Output (SISO) control system structures. Two Proportional-Integral-Derivative (PID) TSF controllers are suggested for azimuth position control, and they are build around linear PID controller structures. A PI and a PID TSF controller are suggested for pitch position control by fuzzifying the linear PI and PID controller structures. The validation of the new TFS controllers is carried out on nonlinear TRAS laboratory equipment. The performance of the SISO control systems with the new TFS controllers is compared with two linear controllers tuned by a metaheuristic Gravitational Search Algorithm optimizer.
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