Abstract
This paper presents an effective force control method in which a fuzzy-neuro force controller is automatically adjusted in accordance with the unknown dynamics of an environment using a neural network. The adjustment strategy of the fuzzy-neural force controller, according to the environment dynamics, is automatically generated by the neural network in off-line manner using genetic algorithms with fuzzy evaluation. The effectiveness of the proposed force controller is evaluated by computer simulation with a 3-DOF planar robot manipulator model.
| Original language | English |
|---|---|
| Title of host publication | 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 620-625 |
| Number of pages | 6 |
| Volume | 1 |
| ISBN (Electronic) | 0780364562, 9780780364561 |
| DOIs | |
| Publication status | Published - 2000 |
| Externally published | Yes |
| Event | 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - Nagoya, Aichi, Japan Duration: Oct 22 2000 → Oct 28 2000 |
Other
| Other | 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 |
|---|---|
| Country/Territory | Japan |
| City | Nagoya, Aichi |
| Period | 10/22/00 → 10/28/00 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Instrumentation