Vibration Control of a Hydraulic System using a Learning Fuzzy Logic Controller
| Autor: | Fumio Fujisawa, Boon Tzong Yeo, Minoru Sasaki, Akimoto Ogasawara |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Adaptive neuro fuzzy inference system
Engineering business.industry Mechanical Engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS Control engineering Fuzzy control system Fuzzy logic Defuzzification Industrial and Manufacturing Engineering Hydraulic cylinder Mechanics of Materials Control theory Control system Hydraulic machinery business |
| Zdroj: | TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 64:2867-2874 |
| ISSN: | 1884-8354 0387-5024 |
| DOI: | 10.1299/kikaic.64.2867 |
| Popis: | This paper describes a pump-controlled hydraulic system with a variable displacement pump to control the acceleration of a hydraulic cylinder. The system has non-linearity due to viscosity and compressibility of oil, packing friction, etc. So it is difficult to find a mathematical model of the process as opposed to conventional control systems and control them. Fortunately this system can be controlled by Fuzzy Logic, needless to find the troublesome mathematical model that has been proved applicable by our experimental results. However, it is not easy to acquire the control rule from our experimental results. For simple and effective tuning the fuzzy controller, we apply the Fuzzy Neural Network. It is shown that good results are achieved by use of the learning fuzzy logic controller. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|