摘要
To compensate for hydrodynamic resistance during experiments on neutral buoyancy, we propose a new method for designing and simulating hydrodynamic resistance servo compensation system, which we believe is new and better than previous ones. Sections 1 and 2 of the full paper explain our method. Their core consists of; (1) we combine the traditional PID control with fuzzy control so as to perform fuzzy inference of unknown information and online learning with artificial intelligence, thus effectively handling the nonlinearity and uncertainty of the actuator control system and adjusting its PI parameters on line and in real time; (2) we apply our method to the closed loop control system of the hydrodynamic resistance servo compensation system; (3) using the fuzzy logic toolbox of MATLAB, we design and simulate the hydrodynamic resistance servo compensation system; the simulation results, given in Figs. 6(a) and (b), and their comparison show preliminarily that the closed loop control system we designed has no overshoot but faster response than the traditional PID control method, thus effectively compensating for hydrodynamic resistance.
| 源语言 | 英语 |
|---|---|
| 页(从-至) | 192-195 |
| 页数 | 4 |
| 期刊 | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| 卷 | 30 |
| 期 | 2 |
| 出版状态 | 已出版 - 2012 |
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