1994 Fiscal Year Final Research Report Summary
Design of Neuro-Controller and its Application to Process Control
| Project/Area Number |
05650405
|
|---|
| Research Category |
Grant-in-Aid for General Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
計測・制御工学
|
|---|
| Research Institution | University of Tokushima |
|---|
Principal Investigator |
OMATU Sigeru University of Tokushima, Faculty of Engineering, Professor, 工学部, 教授 (30035662)
|
|---|
| Project Period (FY) |
1993 – 1994
|
| Keywords | neuro-contrrol / adaptive control / Process control / learning control / PID control / temperature control / chemical process / generalization |
|---|
| Research Abstract |
Aim of the study is to design the neuro-controller and apply it to process control problems. In this study, we have designed three kinds of neuro-controllers, which are called series type, parallel type, and self-tuning type neuro-controllers. For the series type one, we have proposed the direct inverse control algorithm by using neural networks. In the parallel type one, we have introduced a feed-back error learning algorithm. As the last type, we have designed a self-tuning PID type neuro-controller where the proportional, intergral, and derivative gains are tuned in such a way that the error between plant output and desired output is minimized. After performing the neuro-controller designed here by simulations, we have determined the above PID gains by changing the structure of neural networks, Then we have applied the neuro-controller to real process control systems. First, we have applied the temperature control for water-bath and heating furnace and then applied the speed control of electric vehicle systems. From these applications, we have shown that proposed neuro-controller has worked well in real application problems.
|
Research Products
(13 results)
