Hierarchical genetic fuzzy controller for a solar power plant
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | IEEE International Symposium on Industrial Electronics |
| Publisher | IEEE |
| Pages | 584-588 |
| Volume | 2 |
| Publication status | Published - 1998 |
Publication series
| Name | |
|---|---|
| Volume | 2 |
Conference
| Title | Proceedings of the 1998 International Symposium on Industrial Electronics, ISIE. Part 1 (of 2) |
|---|---|
| City | Pretoria, S Afr |
| Period | 7 - 10 July 1998 |
Link(s)
Abstract
To regulate the significant variations of the dynamic characteristics of the distributed collector field in a solar power plant, in this paper, an unique Hierarchical Genetic Algorithms (HGA) has been employed for the design and optimization of the fuzzy logic controller for this purpose. This method not only fulfils the required performance, but also minimize the number of fuzzy membership functions and rules applied. This can be a valued asset for the design of a simple hardware implementable fuzzy controller.
Citation Format(s)
Hierarchical genetic fuzzy controller for a solar power plant. / Ke, J. Y.; Tang, K. S.; Man, K. F. et al.
IEEE International Symposium on Industrial Electronics. Vol. 2 IEEE, 1998. p. 584-588.
IEEE International Symposium on Industrial Electronics. Vol. 2 IEEE, 1998. p. 584-588.
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
