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A fuzzy logic based PI autotuner

机译:基于模糊逻辑的PI自整定器

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An autotuner based on PI algorithm starting with deadbeat approach and prediction made with fuzzyinference mechanism has been presented. While fuzzy inferencing in PI mode has been of someconsequence in recent years, addition of the deadbeat format is expected to improve the performanceminimizing IAE through reduction of the number of command variation. Because of the requirementof controller gain and reset time beyond the acceptance limits with a deadbeat format, constraintsfollowing a knowledge base and compatible with the system using fuzzy inference engine have beenimposed. The simulated as well as practical results with table top process models have shownsubstantial improvement in the performance of the system as compared with the Ziegler-Nichol'sapproach.
机译:提出了一种基于PI算法的自整定自调谐器,并采用模糊推理机制进行了预测。尽管近年来PI模式下的模糊推理带来了一定的影响,但是增加无差拍格式有望通过减少命令变化数量来提高IAE的性能。由于对控制器增益和复位时间的要求超过了采用无差拍格式的可接受极限,因此提出了遵循知识库的约束并与使用模糊推理引擎的系统兼容。与Ziegler-Nichol的方法相比,使用台式过程模型进行的仿真和实际结果表明,该系统的性能有了显着改善。

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