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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Yang Tan Boxue Zhang Xue |
| Copyright Year | 2007 |
| Description | Author affiliation: Shandong Univ. of Technol., Zibo (Liu Yang; Tan Boxue; Zhang Xue) |
| Abstract | This paper suggests that the artificial immune algorithms can be used effectively on tuning of a PID control structures for PMLSM system. The controller's attribute behavior mechanism in PMLSM and the artificial immune system have certain similarities since both systems deal with various attribute inputs (antigens: input and noise) and output through interactions among multiple attribute modules (lymphocytes and/or antibodies: control function). Simulation results reveal that artificial immune algorithm are effective use to search for optimal control against disturbance. |
| Starting Page | 2 |
| Ending Page | 5 |
| File Size | 187121 |
| Page Count | 4 |
| File Format | |
| ISBN | 9787811240559 |
| DOI | 10.1109/CHICC.2006.4346869 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty PMLSM Three-term control Control systems Synchronous motors PID the artificial immune algorithm Sliding mode control Friction Feedback Artificial immune systems Automatic control Cities and towns |
| Content Type | Text |
| Resource Type | Article |
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