| contributor author | Sato, Takao | |
| contributor author | Yamamoto, Toru | |
| contributor author | Araki, Nozomu | |
| contributor author | Konishi, Yasuo | |
| date accessioned | 2017-05-09T01:06:42Z | |
| date available | 2017-05-09T01:06:42Z | |
| date issued | 2014 | |
| identifier issn | 0022-0434 | |
| identifier other | ds_136_06_061003.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/154425 | |
| description abstract | In the present paper, we discuss a new design method for a proportionalintegralderivative (PID) control system using a model predictive approach. The PID compensator is designed based on generalized predictive control (GPC). The PID parameters are adaptively updated such that the control performance is improved because the design parameters of GPC are selected automatically in order to attain a userspecified control performance. In the proposed scheme, the estimated plant parameters are updated only when the prediction error increases. Therefore, the control system is not updated frequently. The control system is updated only when the control performance is sufficiently improved. The effectiveness of the proposed method is demonstrated numerically. Finally, the proposed method is applied to a weigh feeder, and experimental results are presented. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Performance Adaptive Generalized Predictive Control Based Proportional Integral Derivative Control System and Its Application | |
| type | Journal Paper | |
| journal volume | 136 | |
| journal issue | 6 | |
| journal title | Journal of Dynamic Systems, Measurement, and Control | |
| identifier doi | 10.1115/1.4027923 | |
| journal fristpage | 61003 | |
| journal lastpage | 61003 | |
| identifier eissn | 1528-9028 | |
| tree | Journal of Dynamic Systems, Measurement, and Control:;2014:;volume( 136 ):;issue: 006 | |
| contenttype | Fulltext | |