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Fuzzy Control of a Benchmark Problem: A Computing With Words Approach

机译:基准问题的模糊控制:单词计算法

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The rotational/translational proof-mass actuator (RTAC) system is a well-known benchmark for nonlinear control for which a number of controllers were designed. In this paper, we apply fuzzy Lyapunov synthesis, which is a computing with words version of classical Lyapunov synthesis, to design fuzzy controllers for the RTAC system. This allows us to systematically design state-feedback and output-feedback controllers using only a linguistic description of the RTAC system. The designed fuzzy controllers yield a globally asymptotically stable closed-loop system. We demonstrate their advantages in comparison with a previously designed linear controller for the RTAC system.
机译:旋转/平移质量执行器(RTAC)系统是非线性控制的众所周知的基准,为此设计了许多控制器。在本文中,我们应用模糊Lyapunov综合(它是经典Lyapunov综合的文字版本的计算)来设计RTAC系统的模糊控制器。这使我们能够仅使用RTAC系统的语言描述来系统地设计状态反馈和输出反馈控制器。设计的模糊控制器产生了一个全局渐近稳定的闭环系统。与先前为RTAC系统设计的线性控制器相比,我们展示了它们的优势。

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