Effective Optimization of the Control System for the Cement Raw Meal Mixing Process: II. Optimizing Robust PID Controllers Using Real Process Simulators
نویسندگان
چکیده
The present study is aiming to develop a simulator of the mixing process in production installations of raw meal comprising all the main characteristics of the process and raw materials. The system is described by a TITO process regarding the adjustment of the two main quality indicators of the raw meal and regulated via PID controllers. The M Constrained Integral Gain Optimization (MIGO) method is used to tune the controller parameters. Based on actual industrial data the simulator is implemented to determine the optimum PID parameters according to the subsequent criteria: (a) specified robustness constraint and (b) minimum variance of the raw mix chemical modules in raw mill outlet and kiln feed. The simulator offers the possibility to analyze the effect of the process parameters on the raw meal homogeneity. Other digital PID implementations except the one utilized or other control laws can be investigated as well. Key-Words: Dynamics, Raw meal, Quality, Mill, Simulation, Uncertainty, PID, Robustness
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Effective Optimization of the Control System for the Cement Raw Meal Mixing Process: Simulating the Effect of the Process Parameters on the Product Homogeneity
The main factors that influence the quality of the raw meal during its production in a ball mill and storage in stock and homogenisation silos of continuous flow are investigated. A detailed simulation is used, incorporating all the key characteristics of the processes. The quality modules of the raw meal are controlled via robust PID controllers, optimized with the same simulator. The effect o...
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