切換式磁阻馬達智慧型間接轉矩控制驅動系統之研製

Study and Implementation of Intelligence Indirect Torque Control Drive System for Switched Reluctance Motor

簡劭全(Shao-Chuan Chien)

指導教授 ： 王順源

國立臺北科技大學/機電學院/電機工程系所/碩士(2006年)

https://doi.org/10.6841/NTUT.2006.00229

摘要

本論文利用智慧型控制理論設計控制器，並透過轉矩分配之策略，建立切換式磁阻馬達智慧型間接轉矩控制驅動系統，所提出的控制策略使系統響應具有高性能的表現。切換式磁阻馬達具有高轉矩、高效率、無轉子繞組以及成本低廉等優點，然而，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特性，因此增加控制器設計之困難度。本研究利用類神經網路以及小腦模型控制器優異的非線性適應能力，並結合適應性控制理論之投影演算法(projection algorithm) ，與灰色預測理論來設計控制器。所設計之控制器架構皆具線上即時調適PI參數的能力，充分彌補傳統固定參數PI控制器的缺點，有效提升系統的動態特性。
為了驗證所設計控制器之性能及可行性，本研究利用dSPACE-DS1104訊號處理平台來實現所提出的控制策略。經由實驗結果證明，本研究所提出之控制策略確實有效提升系統之動態響應。

關鍵字

類神經網路 ； 小腦模型控制器 ； 灰色預測理論 ； 切換式磁阻馬達

並列摘要

This thesis adopts intelligent control technique to design the controller and using the torque sharing strategy to implement the intelligent indirect torque control drive system for switched reluctance motors (SRMs). The proposed control scheme can improve system response. The merits of SRMs include high torque, high efficiency, no rotor windings, and low cost. However, the structure of salient poles on both the rotor and the stator brings about high nonlinearity of the output torque and makes SRM difficult to control. Since both the Neural Network (NN) technique and the Cerebellar Model Articulation Controller (CMAC) provide a good capability to deal with nonlinear characteristics, we propose a NN-based and a CMAC-based controller respectively with the grey prediction theory and the projection algorithm used in the adaptive control theory. The proposed controller structure can on-line adjust PI parameters to make the dynamic behavior of the proposed system superior to that of the system using the conventional fix-parameter PI controller.
To verify the feasibility and practicality of the controller, a dSPACE-DS1104 platform is used to implement the proposed control scheme. 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

Artificial Neural Network ； Cerebellar Model Articulation Controller ； Grey Prediction Theory ； Switched Reluctance Motor

參考文獻

[1] W. Cai and P. Pillay, "Resonant frequencies and mode shapes of switched reluctance motors," IEEE Transactions on Energy Conversion, vol. 16, no. 1, 2001, pp. 43-48.

[2] K. M. Rahman and S. E. Schulz, "Design of high-efficiency and high torque density switched reluctance motor for vehicle propulsion," IEEE Transactions on Industry Applications, vol. 38, no. 6, 2002, pp. 1500-1507.

[3] S. Brisset and P. Brochet, "Optimization of switched reluctance motors using deterministic methods with static and dynamic finite element simulations," IEEE Transactions on Magnetics, vol. 34, no. 5, 1998, pp. 2853-2856.

[4] M. Barnes and C. Pollock, "Power electronic converters for switched reluctance drives," IEEE Transactions on Power Electronics, vol. 13, no. 6, 1998, pp. 1100-1111.

[5] V. Vujicic and S. N. Vukosavic, "A simple nonlinear model of the switched reluctance motor," IEEE Transactions on Energy Conversions, vol. 15, no. 4, 2000, pp. 395-400.