具類神經估測器向量控制系統之雙滑動模式控制研製

Implementation of Twin Sliding Mode Controllers for Sensorless Vector Controlled Induction Motor Drive with ANN Estimator

鄭安泰(An-Tai Jheng)

指導教授 ： 周錦惠 ； 王順源

國立臺北科技大學/機電學院/電機工程系所/碩士(2005年)

https://doi.org/10.6841/NTUT.2005.00102

摘要

本論文基於滑動模式理論提出雙滑動模式控制器，並將此控制器應用於無轉軸量測器感應電動機向量控制系統中，利用此控制器之特點來改善感應電動機的轉速動態響應，降低向量控制系統對各種干擾的靈敏度，增加系統的強健性。
另外，本文亦提出以投影演算法為基礎的類神經速度估測器及類神經轉子電阻估測器，搭配降階型磁通估測器(Adaptive Pseudo-reduced-Order Flux Observer)，以調適感應電動機的參數變動。此外，本研究根據利亞普若夫定理及投影演算法來設計轉速估測器，完成感應電動機無轉速量測器之目的。
為了達到節能之目的本文亦提出高效率能量控制，使系統在穩態時能依據d、q軸電流比降低磁通電流，使馬達能穩定操作，同時提高效能。為了證明雙滑動模式控制器之強健性，將磁通估測器之轉子電阻值及定子電阻值同時增加30%作測試。實驗結果證明，雙滑動模式控制器除了對動態響應有明顯的改善外亦對系統參數變動具有良好的強健性。

關鍵字

滑動模式理論 ； 投影演算法 ； 參考模型適應系統 ； 適應性向量控制

並列摘要

Based on the sliding-mode control theory, this thesis studies the Twin Sliding Mode Controller (TSMC) design for the sensorless vector-controlled induction motor system. By taking the advantages of TSMC, the dynamic speed response is improved, the sensitivity of the system to disturbances is decreased, and the robustness is increased.
Moreover, based on Projection Algorithm, the neural network rotor and speed estimator is proposed, which is combined with the Adaptive Pseudo-Reduced-Order Flux Observer, for the vector-controlled system to adjust the parameter according to the variations of IM. Furthermore, the speed estimator is designed using the Lyapunov approach and the projection algorithm to increase the robustness of the system and attain the control objectives of sensorless vector-controlled induction motor drive.
To achieve the aim of power saving, this thesis proposes a high power efficiency control, which can reduce the flux current in steady state due to the d-q axis current ratio, to provide stable operation with high efficiency. In the testing condition that the speed range from 36 to 2000 rpm, the rotor and stator resistances are increased by 30% for the flux estimator to examine the robustness of TSMC. The experimental results show that the use of TSMC not only improves dynamic response but also has a good robustness property.

並列關鍵字

sliding mode control ； projection algorithm ； model reference adaptive system ； adaptive vector control

參考文獻

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[7] F. Barrero, A. Gonzalez, A. Torralba, E. Galvan and L. G. Franquel, “Speed Control of Induction Motors Using a Novel Fuzzy Sliding-Mode Structure,” IEEE Transaction on Fuzzy System, Vol. 10, No. 1, pp. 375-383, June 2002.