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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huaiquan Zang Min Liu |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Yan Shan, Yan Shan (Huaiquan Zang; Min Liu) |
| Abstract | The automobile mathematical model is established on the analysis to the automobile electric power steering system (EPS) structural style and the performance. In order to solve the problem that the most automobile power steering is difficult to determine the PID controller parameter, the article uses the fuzzy neural network PID control in EPS. Through the simulation of PID control and the fuzzy neural network PID control computation, the test result indicated that, fuzzy neural network PID the control EPS system has a better robustness compared to traditional PID the control EPS, can improve EPS effectively the steering characteristic and the automobile changes characteristic well. |
| Starting Page | 643 |
| Ending Page | 648 |
| File Size | 196815 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424415311 |
| DOI | 10.1109/ICAL.2007.4338643 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three-term control Computational modeling Control systems Power steering Automobiles Fuzzy control Steering systems electric power steering Fuzzy neural networks Performance analysis fuzzy neural network PID control PID control Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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