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Vers une methode de reglage experimentale des commandes PID floues: application aux systemes electromecaniques

机译:面向模糊PID控制的实验调整方法:在机电系统中的应用

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Electrical and electromechanical systems have to satisfy to more and more constrained specifications. Therefore, non-linear control structures must be spread out. Among them, fuzzy logic control can be one interessant and performant alternative. The main handicap of this kind of structure resides in the fact that the tuning parameters are very numerous. In this paper, we first propose an on-site tuning strategy of this set of parameters in the case of a fuzzy proportional-integrative controller based on the experimental designs methodology and on a limited number of pre-defined closed-loop experiments. Then, a complete set of predetermined parameters for a fuzzy proportional-integrative-derivative controller will be given. These parameters have been optimized on a specified benchmark according to an IAE criterion. They are calculated like the Ziegler-Nichols or Broida methodology on conventional controllers; that is, using a single open-loop step response to obtain s model of a first-order plus delay transfert function. Validity limits for this method are provided.
机译:电气和机电系统必须满足越来越严格的规范。因此,必须分散非线性控制结构。其中,模糊逻辑控制可以是一种交互的和高性能的选择。这种结构的主要缺点在于调谐参数非常多。在本文中,我们首先基于实验设计方法和有限数量的预定义闭环实验,在模糊比例积分控制器的情况下,针对这组参数提出了现场调整策略。然后,将给出用于模糊比例-积分-微分控制器的一组完整的预定参数。这些参数已根据IAE标准在指定的基准上进行了优化。它们的计算类似于传统控制器上的Ziegler-Nichols或Broida方法;也就是说,使用单个开环阶跃响应来获得一阶加延迟传递函数的s模型。提供了此方法的有效性限制。

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