Abstract
A Genetic Algorithms (GAs) based method is presented in this paper for concurrent design of rule sets and membership functions for a fuzzy logic controllers to be used in spacecraft proximity operations. The heuristic nature of fuzzy logic makes GAs a natural candidate for logic design in which both rule sets and membership functions are optimized simultaneously. The employment of GAs natural genetic operations provides a means to search in a complex system space that is difficult to described mathematically. A one-dimensional controller for spacecraft proximity operations is implemented for examination in detail. The expension of the algorithm for a 6 DOP controller is discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 13-16 |
| Number of pages | 4 |
| Journal | Computers and Industrial Engineering |
| Volume | 25 |
| Issue number | 1-4 |
| DOIs | |
| Publication status | Published - 1993 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)
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Fuzzy logic controller design for spacecraft proximity operations. / Lai, Steven Hsin-Yi.
In: Computers and Industrial Engineering, Vol. 25, No. 1-4, 01.01.1993, p. 13-16.Research output: Contribution to journal › Article
TY - JOUR
T1 - Fuzzy logic controller design for spacecraft proximity operations
AU - Lai, Steven Hsin-Yi
PY - 1993/1/1
Y1 - 1993/1/1
N2 - A Genetic Algorithms (GAs) based method is presented in this paper for concurrent design of rule sets and membership functions for a fuzzy logic controllers to be used in spacecraft proximity operations. The heuristic nature of fuzzy logic makes GAs a natural candidate for logic design in which both rule sets and membership functions are optimized simultaneously. The employment of GAs natural genetic operations provides a means to search in a complex system space that is difficult to described mathematically. A one-dimensional controller for spacecraft proximity operations is implemented for examination in detail. The expension of the algorithm for a 6 DOP controller is discussed.
AB - A Genetic Algorithms (GAs) based method is presented in this paper for concurrent design of rule sets and membership functions for a fuzzy logic controllers to be used in spacecraft proximity operations. The heuristic nature of fuzzy logic makes GAs a natural candidate for logic design in which both rule sets and membership functions are optimized simultaneously. The employment of GAs natural genetic operations provides a means to search in a complex system space that is difficult to described mathematically. A one-dimensional controller for spacecraft proximity operations is implemented for examination in detail. The expension of the algorithm for a 6 DOP controller is discussed.
UR - http://www.scopus.com/inward/record.url?scp=0009064475&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0009064475&partnerID=8YFLogxK
U2 - 10.1016/0360-8352(93)90209-G
DO - 10.1016/0360-8352(93)90209-G
M3 - Article
VL - 25
SP - 13
EP - 16
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
SN - 0360-8352
IS - 1-4
ER -