Optimal Speed Control for a Semi-Autogenous Mill Based on Discrete Element Method
Open Access
- 18 February 2020
- Vol. 8 (2), 233
- https://doi.org/10.3390/pr8020233
Abstract
The rotation speed of a mill is an important factor related to its operation and grinding efficiency. Analysis and regulation of the optimal speed under different working conditions can effectively reduce energy loss, improve productivity, and extend the service life of the equipment. However, the relationship between the optimal speed and different operating parameters has not received much attention. In this study, the relationship between the optimal speed and particle size and number was investigated using discrete element method (DEM). An improved exponential approaching law sliding mode control method is proposed to track the optimal speed of the mill. Firstly, a simulation was carried out to investigate the relationship between the optimal speed and different operating parameters under cross-over testing. The model of the relationships between the optimal rotation speed and the size and number of particles was established based on the response surface method. An improved sliding mode control using exponential approaching law is proposed to track the optimal speed, and simulation results show it can improve the stability and speed of sliding mode control near the sliding surface.Keywords
This publication has 20 references indexed in Scilit:
- Model predictive control of semiautogenous mills (sag)Minerals Engineering, 2014
- Benefits of optimisation and model predictive control on a fully autogenous mill with variable speedMinerals Engineering, 2013
- The contribution of DEM to the science of comminutionPowder Technology, 2013
- Chattering in sliding mode control systems with boundary layer approximation of discontinuous controlInternational Journal of Systems Science, 2013
- Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation FunctionsDiscrete Dynamics in Nature and Society, 2012
- Discrete particle simulation of particulate systems: A review of major applications and findingsChemical Engineering Science, 2008
- Technical Evaluation and Practical Experience of High-Power Grinding Mill Drives in Mining ApplicationsIEEE Transactions on Industry Applications, 2005
- A Novel Motor Drive Design for Incremental Motion System via Sliding-Mode Control MethodIEEE Transactions on Industrial Electronics, 2005
- DEM modelling of industrial granular flows: 3D case studies and the effect of particle shape on hopper dischargeApplied Mathematical Modelling, 2002
- Recent advances in dem modelling of tumbling millsMinerals Engineering, 2001