Sun Ling-Fang
School of Automation Engineering, Northeast Dianli University, Jilin, Jilin 132012, China
L.I. Dan
School of Automation Engineering, Northeast Dianli University, Jilin, Jilin 132012, China
Sun Jing-Miao
School of Automation Engineering, Northeast Dianli University, Jilin, Jilin 132012, China
ABSTRACT
As the common equipment of coal power plant, ball mill pulverizing system with double inlets and outlets, which is difficult to get the mathematical models precisely for the nonlinear, multivariable, strong coupling and time-varying characteristics. In this study, mathematical differential equations of the ball mill are deduced based on the mechanism analysis and support vector machines generalized inverse with internal model control is applied in this model. The support vector machine is used to identify the generalized inverse of original system, which in series with original system can be an approximately linearized pseudo-linear system, then combine with internal model control to increase the robustness of the system. To verify the accuracy of the model, simulation was carried with a 1000 MW unit in Hubei Huarun group. Results show that the data from models are in line with the actual operation data. Furthermore, comparison control method in the study with internal model control method was carried, it is proved that the former not only has strong robustness, but also has good features of dynamic responses and decoupling results.
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How to cite this article
Sun Ling-Fang, L.I. Dan and Sun Jing-Miao, 2013. Modeling of Ball Mill Pulverizing System and Research of Support Vector Machine Generalized Inverse with Internal Model Control. Information Technology Journal, 12: 8405-8411.
DOI: 10.3923/itj.2013.8405.8411
URL: https://scialert.net/abstract/?doi=itj.2013.8405.8411
DOI: 10.3923/itj.2013.8405.8411
URL: https://scialert.net/abstract/?doi=itj.2013.8405.8411
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