A Control Design Technique for Grinding Systems with Feedforward Undercompensation and Feedback Control

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Abstract

Feedforward and feedback control are new control algorithms used in industrial processes control and very suitable for grinding systems control. The purpose of this paper is to provide a design technique for a control system of a grinding circuit using the feedforward and feedback control. The control scheme is based on the undercompensation of the milling feed flow. The best value of the undercompensation is chosen after analyzing several scenarios. The controller design based on this value proves to provide improved productivity.

Abstract

Feedforward and feedback control are new control algorithms used in industrial processes control and very suitable for grinding systems control. The purpose of this paper is to provide a design technique for a control system of a grinding circuit using the feedforward and feedback control. The control scheme is based on the undercompensation of the milling feed flow. The best value of the undercompensation is chosen after analyzing several scenarios. The controller design based on this value proves to provide improved productivity.

References

  • [1] Costea C.R., Silaghi H, Gergely E.I., Husi G., Coroiu L., Nagy Z., Approach of PID Controller Tuning for Ball Mill, Proceedings of 2014 International Symposium on Fundamentals of Electrical Engineering, Bucharest, 2014.

  • [2] Goodwin GC., Graebe SF., Salgado M.E., Control System Design, Industrial Applications of Feedforward Control. London: Pearson, 2000.

  • [3] Costea C.R., A Control Design for Grinding Systems with Feedforward Compensation, Journal of Computer Science and Control System 2012; 5(1): 23-26.

  • [4] Boulvin M., Vande Wouwer A., Lepore R., Renotte C., Remy M., Modeling and Control of Cement Grinding Processes, IEEE Transactions on control systems technology 2003, 11(5): 715-725.

  • [5] Cus F., Zuperl U., Balic J., Combined feedforward and feedback control of end milling system, Journal of Achievements in Materials and Manufacturing Engineering 2011, 45(1): 79-88.

  • [6] Li S., Lv F., Feedforward Compensation Based the Study of PID Controller, Advances in Intelligent and Soft Computing 2012, 149: 59-64.

  • [7] Bruzzone L., Molfino RM, Experimental assessment of PID control with feedforward compensation of linear motors, Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control, Anaheim CA, 2007.

  • [8] Santibanez V., Kelly R., PD control with feedforward compensation for robot manipulators: analysis and experimentation. Robotica 2001, 19: 11-19.

  • [9] Costea C.R., Abrudean M., Silaghi H.M., Silaghi M.A., Control of Flow Rate with Fuzzy Logic for Ball Mill, Proceedings of 2010 IEEE International Conference on Automation, Quality and Testing, Robotics THETA 17th edition, Cluj-Napoca, 2010.

  • [10] Costea C.R., Controlul proceselor cu aplicaţii la fabricarea cimentului, Editura Universităţii din Oradea, ISBN 978-606-10-1475-0, 2015.

  • [11] Silaghi A., Alexa F., Petrita T.,Silaghi H., Silaghi M., DVB Demodulation in Presence of Analogic Interferer, Proceedings of 11th International Symposium on Electronics and Telecommunication, Timisoara, 2014.

[1] Costea C.R., Silaghi H, Gergely E.I., Husi G., Coroiu L., Nagy Z., Approach of PID Controller Tuning for Ball Mill, Proceedings of 2014 International Symposium on Fundamentals of Electrical Engineering, Bucharest, 2014.

[2] Goodwin GC., Graebe SF., Salgado M.E., Control System Design, Industrial Applications of Feedforward Control. London: Pearson, 2000.

[3] Costea C.R., A Control Design for Grinding Systems with Feedforward Compensation, Journal of Computer Science and Control System 2012; 5(1): 23-26.

[4] Boulvin M., Vande Wouwer A., Lepore R., Renotte C., Remy M., Modeling and Control of Cement Grinding Processes, IEEE Transactions on control systems technology 2003, 11(5): 715-725.

[5] Cus F., Zuperl U., Balic J., Combined feedforward and feedback control of end milling system, Journal of Achievements in Materials and Manufacturing Engineering 2011, 45(1): 79-88.

[6] Li S., Lv F., Feedforward Compensation Based the Study of PID Controller, Advances in Intelligent and Soft Computing 2012, 149: 59-64.

[7] Bruzzone L., Molfino RM, Experimental assessment of PID control with feedforward compensation of linear motors, Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control, Anaheim CA, 2007.

[8] Santibanez V., Kelly R., PD control with feedforward compensation for robot manipulators: analysis and experimentation. Robotica 2001, 19: 11-19.

[9] Costea C.R., Abrudean M., Silaghi H.M., Silaghi M.A., Control of Flow Rate with Fuzzy Logic for Ball Mill, Proceedings of 2010 IEEE International Conference on Automation, Quality and Testing, Robotics THETA 17th edition, Cluj-Napoca, 2010.

[10] Costea C.R., Controlul proceselor cu aplicaţii la fabricarea cimentului, Editura Universităţii din Oradea, ISBN 978-606-10-1475-0, 2015.

[11] Silaghi A., Alexa F., Petrita T.,Silaghi H., Silaghi M., DVB Demodulation in Presence of Analogic Interferer, Proceedings of 11th International Symposium on Electronics and Telecommunication, Timisoara, 2014.

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