| DC 欄位 |
值 |
語言 |
| DC.contributor | 機械工程學系 | zh_TW |
| DC.creator | 許安仁 | zh_TW |
| DC.creator | An-Jan Hsu | en_US |
| dc.date.accessioned | 2000-7-12T07:39:07Z | |
| dc.date.available | 2000-7-12T07:39:07Z | |
| dc.date.issued | 2000 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=87323108 | |
| dc.contributor.department | 機械工程學系 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | PID控制器是目前產業界應用最多的控制器，但其控制器參數調整不易，大多依賴專家調整，非常不便。本文提出一個自調式類神經PID控制架構，應用倒傳遞類神經網路理論，對於系統模型參數未知的情況下，使用兩個類神經網路分別進行系統鑑別與PID控制器參數調整。由電腦模擬結果可知，本控制架構能在很短的時間內調整出極佳的控制器參數。最後將此控制架構實際應用於超音波馬達位置控制上，實驗結果則顯示，本控制架構確實可以在實際控制應用上實現，其調整結果亦相當快速良好。 | zh_TW |
| dc.description.abstract | This thesis presents a self-tuning PID controller based on the neural network theories. There are two multilayer neural networks within the self-tuning PID controller, one for system identification for unknown controlled systems, and the other for the PID gains determination. Back-propagation method is adopted to perform both the neural networks training.
The results of computer simulation show that the neural based PID control scheme can tune suitable PID gains within a short period. In addition, the controller was implemented to the position control of an ultrasonic motor. The experimental results have shown that the control scheme is also practically successful. | en_US |
| DC.subject | 自調式PID控制 | zh_TW |
| DC.subject | 類神經網路 | zh_TW |
| DC.subject | 系統鑑別 | zh_TW |
| DC.subject | 超音波馬達 | zh_TW |
| DC.subject | self-tuning PID control | en_US |
| DC.subject | neural network | en_US |
| DC.subject | system identification | en_US |
| DC.subject | ultrasonic motor | en_US |
| DC.title | 自調式類神經PID控制於超音波馬達之應用 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |