以步階迴歸控制器為基礎之線型感應馬達驅動系統

Linear Induction Motor Drive System Based on Backstepping Controller

徐書鵬(Shu-Peng Hsu)

指導教授 ： 林法正

中原大學/工學院/電機工程研究所/碩士(2001年)

https://doi.org/10.6840/cycu200100174

摘要

本論文之主旨係發展以步階迴歸控制為基礎之線型感應馬
達驅動系統，首先推導出間接磁場導向線型感應馬達的動態模型，接著分別提出遞迴式模糊類神經網路步階迴歸控制系統、遞迴式類神經網路步階迴歸控制系統和適應性步階迴歸滑動模式控制系統三種控制架構來控制線型感應馬達驅動系統，以達到強健與精密控制的目的。遞迴式模糊類神經網路步階迴歸控制系統主要在補償線型感應馬達驅動位置控制系統中的不確定量，並利用遞迴式模糊類神經網路不確定量估測器來估測在步階迴歸控制系統中所需的總集不確定量。遞迴式類神經網路步階迴歸控制系統主要在補償線型感應馬達驅動位置控制系統中包含摩擦力的不確定量，並利用遞迴式類神經網路不確定量估測器來估測在步階迴歸控制系統中所需的總集不確定量。適應性步階迴歸滑動模式控制系統結合了適應性步階迴歸控制與滑動模式控制之優點，並利用適應性法則來估測包含摩擦力的總集不確定量。本論文並以模擬與實測驗證所提出之各種控制架構的有效性。

關鍵字

步階迴歸控制 ； 線型感應馬達

並列摘要

The subject of this thesis is to develop a linear induction motor (LIM) drive control system based on backstepping control. First, the dynamic model of an indirect field-oriented linear induction motor drive is derived. Then, a recurrent-fuzzy-neural-network(RFNN) backstepping control system, a recurrent-neural-network(RNN) backstepping control system and an adaptive backstepping sliding mode control system are developed
individually for the robust and precise position control of the linear induction motor. A recurrent-fuzzy-neural-network backstepping control system is proposed to compensate the
uncertainties occurred in the motion control system where a RFNN uncertainty observer is proposed to estimate the required lumped
uncertainty parameter in the backstepping control system. Moreover, a recurrent-neural-network backstepping control system is proposed to compensate the uncertainties including the friction force occurred in the motion control system where a RNN uncertainty observer is proposed to estimate the required lumped
uncertainty parameter in the backstepping control system. Furthermore, an adaptive backstepping sliding mode control system, which combined both the merits of adaptive backstepping control and sliding mode control, is proposed to control the mover position of a linear induction motor drive to compensate the uncertainties including the friction force. In addition, an adaptive law is derived to adapt the value of lumped uncertainty. Theഊeffectiveness of the proposed control schemes is demonstrated by some simulated and experimental results.

並列關鍵字

backstepping control ； linear induction motor

參考文獻

[1] S. A. Nasar and I. Boldea, Linear Electric Motors: Theory, Design, and

Practical Applications. New Jersey: Prentice-Hall, 1987.

[2] I. Boldea and S. A. Nasar, Linear Electric Actuators and Generators.

[3] G. W. Mclean, “Review of recent progess in linear motor,” IEE

[4] E. R. Laithwaite, “Adapting a linear induction motor for the acceleration