Abstract
Qualitative and quantitative variables were presented, which were composed of system error and error change. These variables were used as weighting factors in fuzzy algorithm because they expressed dynamic property of controlled system, in the different stage of control process, different variables were used as weighting factor in order to obtain the best control result. This type of self-regulating fuzzy algorithm was employed to control the air-condition system. The practiced results show that, compared with the normal fuzzy controller, this kind of self-regulating fuzzy controller has shorter response time and less stable error. At the same time, it has better quality of self-adaptation if the parameters of controlled objects are changed.
| Original language | English |
|---|---|
| Pages | 2472-2475 |
| Number of pages | 4 |
| State | Published - 2004 |
| Externally published | Yes |
| Event | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China Duration: 15 Jun 2004 → 19 Jun 2004 |
Conference
| Conference | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 15/06/04 → 19/06/04 |
Keywords
- Fazzy control
- Qualitative variable
- Quantitative variable
- Self-regulating
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