Intelligent control for pneumatic servo system
- Resource Type
- Conference
- Authors
- Li, J.; Mizukami, Y.; Wakasa, Y.; Tanaka, K.
- Source
- SICE 2003 Annual Conference (IEEE Cat. No.03TH8734) SICE 2003 SICE 2003 Annual Conference. 3:3193-3198 Vol.3 2003
- Subject
- Robotics and Control Systems
Signal Processing and Analysis
Aerospace
Intelligent control
Servomechanisms
Neural networks
Control systems
Valves
Weight control
Jacobian matrices
Counting circuits
Pulse amplifiers
Polynomials
- Language
This paper presents a novel model reference adaptive control (MRAC) incorporating neural network (NN) for the pneumatic servo system. In the proposed method, the input of the NN are different from which in the conventional method. And there is no need to use the inner parameters of the NN during the learning of the NN. The effectiveness of the proposed scheme is confirmed by experiments using the existent pneumatic servo system.