Parameter Tuning of Stable Fuzzy Controllers
β Scribed by J.-Y. Dieulot; P. Borne
- Book ID
- 110333473
- Publisher
- Springer Netherlands
- Year
- 2002
- Tongue
- English
- Weight
- 105 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0921-0296
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The performance of a fuzzy logic controller depends on its control rules and membership functions. Hence, it is very important to adjust these parameters to the process to be controlled. A method is presented for tuning fuzzy control rules by genetic algorithms to make the fuzzy logic control system
## Cascade control configurations offer interesting possibilities to improve the control of processes. However, the tuning of cascade controllers can be quite complex, which hampers a wider spread of applications. Using an on-line pattern recognition approach and fuzzy inferencing it is possible
A fuzzy logic controller (FLC) is designed based on a human expert's knowledge of the process. The performance of this initial design attempt will, in general, not be satisfactory in terms of certain design criteria such as steady-state error, the oscillatory behavior of the system, etc. This is due
m method is proposed to optimal-tune the parameters of PID controllers. DifJerent from traditional techniques, the tunin 9 procedure of the proposed method is described in terms of fuzzy rules, in which the input variables are the error signal and its derivative, and the output variables are the PID