採用最速下降法於即時模糊溫度控制器之開發

Development of a Real-Time Fuzzy Temperature Controller Based on Steepest Descent Method

陳冠廷(Kuan-Ting Chen)

指導教授 ： 張森富

國立臺灣大學/生物資源暨農學院/生物產業機電工程學研究所/碩士(2013年)

https://doi.org/10.6342/NTU.2013.01958

摘要

本研究對於環境監測控制系統，採用單晶片微處理器為主的控制，透過藍芽模組技術，個人電腦端則透過視訊培基語言程式撰寫，以達成遠距環境監測控制目的。
提出以模糊控制實現於環境監測控制系統，模糊控制的特點是利用建立出的模糊規則，以取代建構困難的數學模型，進而達成環境溫度之非線性控制，對於模糊控制系統參數的調整方式，是透過最速下降法來調整控制器的權重值，以使自動檢測系統中使溫度的控制可以根據模糊規則自動調整至恆溫。

關鍵字

模糊控制 ； 最速下降法 ； 非線性

並列摘要

This study intends to achieve far-distance environmental surveillance in environmental temperature and monitoring control systems through the use of a single chip control device, Bluetooth module technology, and Visual Basic.
In achieving this goal, this project employs fuzzy control in environmental temperature and monitoring control systems. The advantage of fuzzy control is its ability to use fuzzy rules as replacements for complex mathematical models. In this way, fuzzy control can attain nonlinear control. it will include the steepest descent method in handling the adjustment of the fuzzy control system’s parameters and weights. In this manner, the environmental control can rely on the fuzzy rules to automatically adjust itself, reaching an equilibrium in temperature.

並列關鍵字

Fuzzy control ； Steepest Descent method ； Nonlinear.

參考文獻

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