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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xu Guo-kai Song peng Zhao Xiu-chun |
| Copyright Year | 2006 |
| Description | Author affiliation: Coll. of Electromech. & Inf. Eng., Dalian Nationalities Univ. (Xu Guo-kai; Song peng; Zhao Xiu-chun) |
| Abstract | The drive control system is one of the key technologies for electric vehicle. It can improve the electric vehicle performance using the discrete-time model reference adaptive control methods. In this paper, the discrete model reference adaptive control system of HS2000 electric vehicle is discussed. Firstly, the discrete model of EV is presented. Based on it the design of the adaptive control is made, and the rule of discrete model reference adaptive control is proven. The results of simulation show that adaptive control has favorable characteristic than the PID control system |
| Starting Page | 2430 |
| Ending Page | 2433 |
| File Size | 2828081 |
| Page Count | 4 |
| File Format | |
| ISBN | 8995003847 |
| DOI | 10.1109/SICE.2006.315137 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-18 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | The Institute of Control, Automation and Systems |
| Subject Keyword | Adaptive control Electric vehicles Inductance Power system modeling Control system synthesis Power engineering and energy Drives Three-term control Transfer functions Mathematics simulation electric vehicle model reference adaptive control |
| Content Type | Text |
| Resource Type | Article |
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