一类自整定模糊控制器研究

On Improvement of Self-Adjusting Fuzzy Controller for Chinese Use

在具有误差增量模糊化因子（ＥＩＦＦ）的专家模糊控制器的基础上，进一步引入了控制器参数在线自调整模糊模型，从而形成一种新的具有模糊参数自调整功能的自整定模糊控制器（ＳＡＦＣ）。仿真结果表明，该控制器适应能力大幅度增强，可广泛应用于工业控制系统中。

There have been studies in China on Self-Adjusting Fuzzy Controller (SAFC). In the authors'opinion, further improvement can be made to meet better the needs of industry in China.After much simulation testing, the authors propose a new fuzZy model which provides moreroom for parameter adjUstment than models of existing Chinese SAFC and apply this model to a controller with Error increment Fuzzy Factor (EIFF); thus the authors form a new SAFC. For a widelyused time-lag system, when the time constant changes abruptly to several times larger or smaller, existing Chinese SAFCs need to go through two or three cycles of self-adjustment. For the sametime-lag system, by going through two or three cycles of self-adjustment, the authors' SAFC canmake it adapted to an abrupt change of time constant to more than 100 times larger or smaller.In addition to the very large increase in adaptability to abrupt change in time constant, the authors point out briefly that its control language is simple and its implementation on a microcomputeris easy.