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NCUEIR > College of Technology > vr > Periodical Articles > Item 987654321/15566

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/15566

Title:	電動驅動輪牽引力控制之可行性研究 The Feasibility Study of the Force Control for an Electric Traction Wheel
Authors:	楊介仙;吳昇祐;李承和
Contributors:	車輛科技研究所
Keywords:	滑差;牽引力;直流馬達;類神經網路控制 Slip ratio;Traction forces;DC motor;Neural network control
Date:	2011-05
Issue Date:	2013-02-27T03:12:16Z
Publisher:	中華民國汽車工程學會
Abstract:	本文提出一研究方法應用於電動驅動輪之牽引力控制，該方法應先建立驅動馬達之轉速、電流對應驅動力之資料庫，並輔以適當控制法則提供該馬達適當或補償之轉速命令，使驅動輪能處於預期牽引力之範圍。鑒於滑差率量測不易，本研究以驅動馬達之轉速及其電流回授，再由建立之驅動馬達牽引力資料庫中估測其牽引力，形成間接牽引力訊號回授至控制器，以達調整驅動馬達轉速命令之目的。文中將以徑向基底函數類神經網路(Radial Basis Function Neural Network, RBFNN)控制法則驗證車輪牽引力控制之可行性，由數值模擬結果可知建立驅動馬達牽引力資料庫亦為電動驅動輪之牽引力控制及估測之可行方案之一。 This paper studies the feasibility of an approach to the evaluation and control of the force for a traction wheel driven by a PM DC motor. A downscaled DC motor which is utilized to verify the feasibility of the proposed approach is an imitation of full-scale motor. Instead of the slip ratio measurements, the traction force can be evaluated from the characters of the target DC motor. Therefore, the database of the DC motors, such as current versus voltage, RPM and loading, has to be built through the automatic data acquisition system. According to the database, we synthesize the autonomous controller to restrain the traction force with control logic and some possible control laws such as RBF neural network, etc. The simulation results show that it is feasible to evaluate and control the force for a traction wheel of an electronic vehicle.
Relation:	車輛工程學刊, 8: 49-60
Appears in Collections:	[vr] Periodical Articles

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