| Archives of Control Sciences | |
| Control of complex dynamic nonlinear loading process for electromagnetic mill | |
| 关键词: predictive control; pole placement; nonlinear dynamics; neural modelling; electromagnetic mill; | |
| DOI : https://doi.org/10.24425/acs.2020.134674 | |
| 来源: DOAJ | |
【 摘 要 】
Electromagnetic mill installation for dry grinding represents a complex dynamical system that requires specially designed control system. The paper presents model-based predictive control which locates closed loop poles in arbitrary places. The controller performs as gain scheduling prototype where nonlinear model – artificial recurrent neural network, is parameterized with additional measurements and serves as a basis for local linear approximation. Application of such a concept to control electromagnetic mill load allows for stable performance of the installation and assures fulfilment of the product quality as well as the optimization of the energy consumption.
【 授权许可】
Unknown