| Creator |
|
|
|
|
|
|
|
|
|
| Language |
|
| Publisher |
|
|
|
| Date |
|
| Source Title |
|
| Vol |
|
| Issue |
|
| First Page |
|
| Last Page |
|
| Publication Type |
|
| Access Rights |
|
| JaLC DOI |
|
| Related DOI |
|
| Related URI |
|
| Relation |
|
| Abstract |
The flatness control system is a long time-delay, on-linear, coupled multivariate system with variable parameters. Based on the system features, genetic algorithms which possesses parallel search abil...ity synchronously optimize the fuzzy controller parameters based on combinative coding of membership functions, quantization factors and scale factor. This optimized operation can effectively avoid the difficulties of manual adjustment. Due to its membership functions' symmetrical feature which makes search space is in half. Then combine the optimized fuzzy controller with PID controller to achieve the fuzzy PID parallel control. At the same time it also effectively control the output pressure that comes from hydraulic bending roll-control system. A simulation test shows that the controller not only has high control precision but also has good stability as same as PID.show more
|
Export Mendeley
p075