直流轉換器之模糊類神經控制

Fuzzy Neural Network Control for DC-DC Converter

劉新金(Shin-Jin Liu)

指導教授 ： 林志民

元智大學/工程學院/電機工程學系/碩士(2004年)

摘要

智慧型控制器非常適合應用於未知變數非線性系統且不易由傳統控制方法實現的控制器上。
本文的目的是研究通用的直流轉換器之模糊及類神經控制，所提出的方法適用於任一「直流-直流」轉換器之組態。首先針對直流轉換器之性能，如安定時間及動態超越量與傳統的比例積分微分控制器做一比較。最後從「降壓型」及「升壓型」轉換器之模擬及實作中，證明利用智慧型控制器來實現直流轉換器之可行性。

關鍵字

降壓型 ； 升壓型

並列摘要

Intelligence controller is suitable for uncertain nonlinear systems, which are not easy to be realized by the classical design methods.
In this thesis, a fuzzy and a neural network controllers for dc-dc converter are investigated. The presented approaches are general and can be applied to any dc-dc converter. A fuzzy and a neural network controllers are designed and are compared with PID controller. The settling time and overshoot for startup and step response have been compared. Finally, simulation and experimental results of buck and boost converters demonstrate the possibility of applying intelligence control method in practical converter design.

並列關鍵字

FLC ； NN ； PID

參考文獻

[16] M. Maeda and S. Murakami, “An automobile tracking control with a fuzzy logic”, Proc. 3rd Fuzzy Systems Symp., pp. 61-66, 1987.

[2] C. C. Lee, “Fuzzy logic in control system: fuzzy logic controller-part I”, IEEE Trans on Systems, Man, and Cybernetics, vol. 20, no. 2, pp. 404-418, 1990.

[3] C. C. Lee, “Fuzzy Logic in Control System: Fuzzy Logic Controller-Part II”, IEEE Trans on Systems, Man, and Cybernetics, vol. 20, no. 2, pp. 419-435, 1990.

[4] E. H. Mamdani, “Applications of fuzzy algorithm for control of a simple dynamic plant”, IEEE Proc., vol. 121, pp. 1585-1588, 1794.

[5] S. Haykin, Neural Networks a Comprehensive Foundation, Prentice-Hall, Inc.,New Jersey, 1999.