This paper presents a new adaptive DMC controller
that improves the controller performance in case of plant-model
mismatch. The new controller monitors the plant measured output,
compares it with the model output and calculates weights applied to
the controller move. Simulations show that the new controller can
help improve control performance and avoid instability in case of
severe model mismatches.
[1] Paul Serban Agachi, Zoltan K. Nagy, Mircea Vasile Cristea, and Arpad
Imre-Lucaci, "Model Based Control - Case Studies in Process
Engineering", WILEY-VCH, 2006, pp. 26-32.
[2] Yingyi Jin, Chengli Su, "Adaptive Model Predictive Control Using
Diagonal Recurrent Neural Network", IEEE Fourth International
Conference on Natural Computation, 2008.
[3] Chengli Su, Yun Wu, "Adaptive Neural Network Predictive Control
Based on PSO Algorithm", IEEE Chinese Control and Decision
Conference (CCDC 2009), 2009.
[4] Vincent A. Akpan, George D. Hassapis, "Nonlinear model identification
and adaptive model predictive control using neural networks", ISA
transactions, 2011.
[5] XUE Meisheng, TAO Chenggang, ZHUGE Jinjun, "A Fuzzy
Compensation Mechanism in FFRLS-based Adaptive MPC Strategy",
Proceedings of the 29th Chinese Control Conference , 2010.
[6] Edinzo J. Iglesias Sanchez, "Using fuzzy logic to enhance control
performance of sliding mode control and dynamic matrix control", PhD
thesis, 2006.
[7] Jung-Su Kim, "Recent Advances in Adaptive MPC", International
Conference on Control, Automation and Systems, 2010.
[8] Abhijit S. Badwe , Rohit S. Patwardhan , Sirish L. Shah , Sachin C.
Patwardhan , Ravindra D. Gudi, "Quantifying the impact of model-plant
mismatch on controller performance", Journal of Process Control, 2010
[9] Wang Wei, Huang Zhuo, "Research of Performance Assessment and
Monitoring for Multivariate Model Predictive Control System",
Proceedings of 4th International Conference on Computer Science &
Education, 2009.
[10] Matteo Rubagotti, Davide Martino Raimondo, Antonella Ferrara, and
Lalo Magni, "Robust Model Predictive Control With Integral Sliding
Mode in Continuous-Time Sampled-Data Nonlinear Systems", IEEE
transaction on Automatic Control, Vol. 56, no. 3, March 2011
[11] J.A. Rossiter, "Model Based Predictive Control A Practical Approach",
CRC Press, 2003
[12] R. Sivakumar, K. Suresh Manic, V. Nerthiga, R. Akila, K. Balu,
"Application of Fuzzy Model Predictive Control in Multivariable
Control of Distillation Column" International Journal of Chemical
Engineering and Applications, Vol. 1, No. 1, June 2010
[13] Piotr Tatjewski and Maciej Lawryn Czuk (2006 ), "Soft computing in
model-based predictive control", International Journal of Applied Maths
and Computer Science, Vol. 16, No. 1, pp. 7-26, 2006
[14] Yi Cao, "MPC Tutorial 1", Mathworks file exchange,
www.mathworks.com/matlabcentral/fileexchange
[1] Paul Serban Agachi, Zoltan K. Nagy, Mircea Vasile Cristea, and Arpad
Imre-Lucaci, "Model Based Control - Case Studies in Process
Engineering", WILEY-VCH, 2006, pp. 26-32.
[2] Yingyi Jin, Chengli Su, "Adaptive Model Predictive Control Using
Diagonal Recurrent Neural Network", IEEE Fourth International
Conference on Natural Computation, 2008.
[3] Chengli Su, Yun Wu, "Adaptive Neural Network Predictive Control
Based on PSO Algorithm", IEEE Chinese Control and Decision
Conference (CCDC 2009), 2009.
[4] Vincent A. Akpan, George D. Hassapis, "Nonlinear model identification
and adaptive model predictive control using neural networks", ISA
transactions, 2011.
[5] XUE Meisheng, TAO Chenggang, ZHUGE Jinjun, "A Fuzzy
Compensation Mechanism in FFRLS-based Adaptive MPC Strategy",
Proceedings of the 29th Chinese Control Conference , 2010.
[6] Edinzo J. Iglesias Sanchez, "Using fuzzy logic to enhance control
performance of sliding mode control and dynamic matrix control", PhD
thesis, 2006.
[7] Jung-Su Kim, "Recent Advances in Adaptive MPC", International
Conference on Control, Automation and Systems, 2010.
[8] Abhijit S. Badwe , Rohit S. Patwardhan , Sirish L. Shah , Sachin C.
Patwardhan , Ravindra D. Gudi, "Quantifying the impact of model-plant
mismatch on controller performance", Journal of Process Control, 2010
[9] Wang Wei, Huang Zhuo, "Research of Performance Assessment and
Monitoring for Multivariate Model Predictive Control System",
Proceedings of 4th International Conference on Computer Science &
Education, 2009.
[10] Matteo Rubagotti, Davide Martino Raimondo, Antonella Ferrara, and
Lalo Magni, "Robust Model Predictive Control With Integral Sliding
Mode in Continuous-Time Sampled-Data Nonlinear Systems", IEEE
transaction on Automatic Control, Vol. 56, no. 3, March 2011
[11] J.A. Rossiter, "Model Based Predictive Control A Practical Approach",
CRC Press, 2003
[12] R. Sivakumar, K. Suresh Manic, V. Nerthiga, R. Akila, K. Balu,
"Application of Fuzzy Model Predictive Control in Multivariable
Control of Distillation Column" International Journal of Chemical
Engineering and Applications, Vol. 1, No. 1, June 2010
[13] Piotr Tatjewski and Maciej Lawryn Czuk (2006 ), "Soft computing in
model-based predictive control", International Journal of Applied Maths
and Computer Science, Vol. 16, No. 1, pp. 7-26, 2006
[14] Yi Cao, "MPC Tutorial 1", Mathworks file exchange,
www.mathworks.com/matlabcentral/fileexchange
@article{"International Journal of Information, Control and Computer Sciences:61215", author = "Ahmed Abbas and M.R. M Rizk and Mohamed El-Sayed", title = "DMC with Adaptive Weighted Output", abstract = "This paper presents a new adaptive DMC controller
that improves the controller performance in case of plant-model
mismatch. The new controller monitors the plant measured output,
compares it with the model output and calculates weights applied to
the controller move. Simulations show that the new controller can
help improve control performance and avoid instability in case of
severe model mismatches.", keywords = "Adaptive control, dynamic matrix control, DMC,
model predictive control", volume = "6", number = "3", pages = "402-5", }
