適應性高斯小腦模型控制器於切換式磁阻馬達驅動系統之研製

Study and Implementation of Switched Reluctance Motor Drive System Based on Adaptive Gaussian CMAC

黃植源(Zhi-Yuan Huang)

指導教授 ： 王順源 ； 曾傳蘆

國立臺北科技大學/電資學院/電機工程系研究所/碩士(2009年)

https://doi.org/10.6841/NTUT.2009.00548

摘要

本論文利用智慧型控制理論設計控制器，並植入切換式磁阻馬達驅動系統中，所設計的控制器使系統速度響應具有高性能的表現。切換式磁阻馬達相當適合應用於變轉速驅動的場合，具有高轉矩、高功率密度、高效率、無轉子繞組以及低成本等優點。然而，切換式磁阻馬達其定、轉子雙凸極式的結構設計，導致輸出轉矩具有高度非線性的特性，因而增加控制器設計之困難度。因此本研究將切換式磁阻馬達驅動系統結合適應性高斯小腦模型控制器之控制技術，此控制器將提供克服系統非線性的能力，使得切換式磁阻馬達系統速度響應具有高性能的表現。
本研究利用dSPACE-DS1104訊號處理平台來實現所提出的控制策略，驗證出所設計控制器之性能及可行性。經由實驗結果證明，本研究所提出之控制策略確實可有效提升系統之動態響應。

關鍵字

適應性高斯小腦模型控制器 ； 切換式磁阻馬達

並列摘要

This thesis adopts intelligent control technique to design the controller for the switched reluctance motors (SRMs) drive system. The designed system acquires superior performance in speed response.
SRMs are known suitable for variable speed drive applications due to their large torque, high power density, high efficiency, no rotor windings and low cost. However, the structure of salient poles of SRMs on both the rotor and the stator brings about high nonlinearity of the output torque and makes SRM difficult to control. To solve this problem, the SRM drive system is integrated with adaptive Gaussian cerebellar model articulation controller so that it can provide a good capability to deal with nonlinear characteristics and obtain a better speed response.
The dSPACE-DS1104 platform is used to implement the proposed control scheme in order to verify the capability and practicality of the controller. From the experimental results, it is seen that the dynamic performance of the SRM driver system is improved by the proposed scheme.

並列關鍵字

Adaptive Gaussian cerebellar model articulation controller ； Switched reluctance motor.

參考文獻

[22] 謝文政，切換式磁阻馬達智慧型驅動系統之研製，碩士論文，國立台北科技大學電機工程系碩士班，台北，2005。

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[4] T. H. Liu and C. G. Chen, "Implementation of a sensorless switched reluctance drive with self-inductance estimating technique," IEEE 2002 28th Annual Conference of the Industrial Electronics Society, vol. 1, 5-8 Nov. 2002, pp. 508-513.