Abstract
The application of a fuzzy neural network controller for compensatingthe effects induced by the friction in a DC-motormicromaneuvering system is considered in this article. A backpropagationneural network is employed to decrease the effectsof the system nonlinearities. The input vector to the neuralnetwork controller consists of the time history of the motorangular shaft velocity within a prespecified time window. Afuzzy cell space controller supervises the overall scheme andreduces the amplitude and repetitions of control switchings.Simulation studies are presented to indicate the effectiveness ofthe proposed algorithm.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 312-315 |
| Number of pages | 4 |
| Journal | Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME |
| Volume | 119 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 1997 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Information Systems
- Instrumentation
- Mechanical Engineering
- Computer Science Applications