Novel Online Optimal Bandwidth Search and Autotuning Techniques for Servo Motor Drives
| Autor: | Chih-Jung Hsu, Yen-Shin Lai |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering Electronic speed control Permanent magnet synchronous motor business.industry media_common.quotation_subject 020208 electrical & electronic engineering Bandwidth (signal processing) ComputerApplications_COMPUTERSINOTHERSYSTEMS Control engineering 02 engineering and technology Servomotor Inertia Industrial and Manufacturing Engineering 020901 industrial engineering & automation Control and Systems Engineering Control theory Servo bandwidth 0202 electrical engineering electronic engineering information engineering Torque Servo drive Electrical and Electronic Engineering business media_common |
| Zdroj: | IEEE Transactions on Industry Applications. 53:3635-3642 |
| ISSN: | 1939-9367 0093-9994 |
| Popis: | The main theme of this paper is to propose fast online optimal bandwidth search and controller tuning techniques for servo motor drives. The proposed controller tuning method derives the controller gains by searching the optimal bandwidth and identifying the inertia. The optimal bandwidth search can be achieved before oscillation occurs. It will be shown that the gains of speed controller of servo drives are tuned automatically to reflect the load variation. Experimental results derived from digital signal processor-controlled permanent magnet synchronous motor servo drives will be shown. The results demonstrate online optimal bandwidth search and autogain tuning can be achieved without motor and load information in prior . These results fully support the developed techniques and claims. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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