Abstract
According to the expectation stabilization effects of ship anti-rolling control system under different sea circumstance, we design the different performance index. We optimum design fuzzy controller off-line and set up the control system knowledge library by the use of genetic algorithm. On the basis of the real-time running station, control procedure, call the corresponding controller in the system knowledge library, and modify the GA-FC controller's proportional gain on-line. The simulation result indicates that the stabilizer on-line control system based on GA-FC is the very effective to anti-roll control, and slowdown the saturation probability of fin angle and angle speed of fin rotation, so that reduce fin service system's power consumption. This controller's structure has some popularization value for it is so simple to realize easily.
| Original language | English |
|---|---|
| Pages (from-to) | 860-863 |
| Number of pages | 4 |
| Journal | Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) |
| Volume | 33 |
| Issue number | 5 |
| DOIs | |
| State | Published - Oct 2009 |
| Externally published | Yes |
Keywords
- Anti-rolling system
- Fuzzy control
- Genetic algorithm
- On-line modify
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