An improved robust fuzzy-PID controller with optimal fuzzy reasoning
An improved robust fuzzy-PID controller with optimal fuzzy reasoning
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DOI：
10.1109/tsmcb.2005.851538
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发表时间：
2005-12
期刊：
影响因子：
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通讯作者：
Han-Xiong Li;Lei Zhang;K. Cai;Guanrong Chen
中科院分区：
文献类型：
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作者：
Han-Xiong Li;Lei Zhang;K. Cai;Guanrong Chen
目前工业实践中使用的许多模糊控制方案都是基于一些简化的模糊推理方法，这些方法虽然简单，但代价是失去鲁棒性，缺少模糊特性，并且具有不一致的推理。本文引入最优模糊推理的概念，以克服这些缺点。其主要优点是，最优模糊推理与PID控制结构的集成将产生一种新的类型的模糊PID控制方案，具有固有的最优调整功能的局部最优性能和全局跟踪鲁棒性。对这种新的模糊PID控制器进行了定量分析，并与现有的模糊PID控制方法进行了比较。分析和数值研究清楚地表明，改进的鲁棒性的新的模糊PID控制器。
Many fuzzy control schemes used in industrial practice today are based on some simplified fuzzy reasoning methods, which are simple but at the expense of losing robustness, missing fuzzy characteristics, and having inconsistent inference. The concept of optimal fuzzy reasoning is introduced in this paper to overcome these shortcomings. The main advantage is that an integration of the optimal fuzzy reasoning with a PID control structure will generate a new type of fuzzy-PID control schemes with inherent optimal-tuning features for both local optimal performance and global tracking robustness. This new fuzzy-PID controller is then analyzed quantitatively and compared with other existing fuzzy-PID control methods. Both analytical and numerical studies clearly show the improved robustness of the new fuzzy-PID controller.