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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >Embedded Indirect Adaptive Fuzzy Controller Based on T-S Fuzzy Inverse Model
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Embedded Indirect Adaptive Fuzzy Controller Based on T-S Fuzzy Inverse Model

机译：基于T-S模糊逆模型的嵌入式间接自适应模糊控制器

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摘要

The present paper is a trial to shed further light on the Indirect Adaptive Fuzzy Logic Controller (IDAFLC). In this concern, the proposed technique is predestined from two levels, where the lower level is based on Mamdani fuzzy controller. On the other hand, the upper level is an inverse model based on a Takagi-Sugeno method, in which its output is used to adapt the parameters of the fuzzy controller in the lower level. Moreover, the upper level contains learning mechanism to adapt model identification parameters. The proposed IDAFLC is implemented using an Arduino DUE kit. From the practical results, it is proved that the proposed adaptive controller has the ability to adapt the model identification parameters and improves, successfully, both the performance response and the disturbance due to the load and also measurement error of sensor in the speed control of the DC motor.
机译：本文是一种在间接自适应模糊逻辑控制器（IDAFLC）上进一步光的试验。在此担忧中，所提出的技术预先从两个级别预先创作，其中较低级别基于Mamdani模糊控制器。另一方面，上层是基于Takagi-Sugeno方法的逆模型，其中其输出用于调整较低级别中的模糊控制器的参数。此外，上层包含适应模型识别参数的学习机制。建议的idaflc使用Arduino Due套件实现。从实际结果中，证明所提出的自适应控制器具有适应模型识别参数的能力，并提高性能响应和由于负载而改善的干扰以及传感器的测量误差在速度控制中直流电机。

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