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Design of a multi-layer fuzzy logic controller for multi-input multi-output systems

机译:用于多输入多输出系统的多层模糊逻辑控制器的设计

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In this paper, we propose a multi-layer fuzzy logic controller (MLFLC) for multi-input-multi-output (MIMO) systems. For the convenience of analysis, the structure of the multi-layer fuzzy logic controller is divided into multi-input-singe-output (MISO) controllers. Each multi-input-single-output controller consists of many fuzzy logic controllers (FLC). In the fuzzy logic controller the linguistic rules are designed as a suction controller. A theorem shows that such fuzzy logic controller has a switching line. The results of analysis show that the multi-layer fuzzy logic controller has a switching manifold and its parameters are the scaling factors which normalize the input variables. Moreover, a theorem which shows the stability of the proposed multi-layer fuzzy logic controller can easily be formulated by properly selecting the denormalizing scaling factors. A cart-pole system with two links is used as an illustrated example for demonstration. The demonstrations also include the links controlled to track a set of desired trajectory. Simulation results show that the fuzzy control system is asymptotically stable, and the desired trajectories can be followed very closely.
机译:在本文中,我们提出了一种用于多输入多输出(MIMO)系统的多层模糊逻辑控制器(MLFLC)。为了便于分析,将多层模糊逻辑控制器的结构分为多输入单输出(MISO)控制器。每个多输入单输出控制器均包含许多模糊逻辑控制器(FLC)。在模糊逻辑控制器中,语言规则被设计为吸引控制器。一个定理表明,这种模糊逻辑控制器具有切换线。分析结果表明,该多层模糊逻辑控制器具有切换流形,其参数为对输入变量进行归一化的比例因子。此外,通过适当地选择反归一化比例因子,可以很容易地制定出表示所提出的多层模糊逻辑控制器的稳定性的定理。具有两个链接的小车杆系统被用作演示示例。演示还包括受控制以跟踪一组所需轨迹的链接。仿真结果表明,模糊控制系统是渐近稳定的,可以很精确地跟踪期望的轨迹。

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