Statistical model and control of a ring-and-roller type grinding mill
This project explores the use of a ring-and-roller grinding mill for fine grinding or pulverizing. Since the efficiency of this system is low, small improvements in product throughput or energy consumption can result in substantial economic improvements. To better understand this system, experiments were conducted for limestone and cement clinker. From these experiments models were formulated for product throughput, energy consumption and product size distribution. A control loop was implemented to reduce the effect of non-uniform feeding. Steady-state interactions were analyzed using the Relative Gain Array (RGA) method. Next, a multi-input and multi-output (MIMO) control system was designed using the Inverse Nyquist Array (INA) method to remove variable interactions. The robustness of this controller was explored. Finally, a self-tuning PI controller was designed using the pole placement method to improve system performance. The results of this study provide models for implementation on ring-and-roller grinding mills.
- Research Organization:
- Lehigh Univ., Bethlehem, PA (United States)
- OSTI ID:
- 5123938
- Resource Relation:
- Other Information: Thesis (Ph.D.)
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
CEMENTS
GRINDING
GRINDING MACHINES
ENERGY CONSUMPTION
LIMESTONE
PULVERIZERS
COMMINUTION
EFFICIENCY
BUILDING MATERIALS
CARBONATE ROCKS
EQUIPMENT
MACHINE TOOLS
MACHINERY
MACHINING
MATERIALS
ROCKS
SEDIMENTARY ROCKS
TOOLS
320303* - Energy Conservation
Consumption
& Utilization- Industrial & Agricultural Processes- Equipment & Processes