Application of Multivariable Model Prediction Control to Ultra-supercritical Unit - Intelligent Computing for Sustainable Energy and Environment - page 503

6 Conclusions
Based on analyzing the control diculties of ultra-supercritical unit and the
input-output relationships of ultra-supercritical units, this paper introduce a
predictive control for ultra-supercritical unit with input variables fuel flow, tur-
bine valve opening and water flow respectively and output variables load and
steam temperature, steam pressure respectively. Also, the specific relationship
between the scheme and basic control layer DCS and detailed implementation
steps are given.
References
1. Yang, X.Y.: Automatic control of thermal process. Tsinghua University Press, Bei-
jing (2000) (in Chinese)
2. Xi, Y.G.: Model Predictive Control. National Defence Industry Press, Beijing
(1993) (in Chinese)
3. Wang, D.J.: Optimal control theory of H2 and H ∞ . Harbin University of Technol-
ogy Press, Harbin (2000) (in Chinese)
4. Xiao, B.L.: Development Progress of Automation and Information Technologies for
Domestic Power Plants. Journal of Chinese Society of Power Engineering 31(8),
611-618 (2011) (in Chinese)
5. Xi, Y.G.: Model Predictive Control. National Defence Industry Press, Beijing
(1993) (in Chinese)
6. Wang, D.J.: Optimal control theory of H2 and H ∞ . Harbin University of Technol-
ogy Press, Harbin (2000) (in Chinese)
7. Richalet, J., Rault, A., Testud, J.L., Papon, J.: Algorithmic control of industrial
processes. In: Proceedings of the Fourth IFAC Symposium on Identification and
System Parameter Estimation, pp. 1119-1167 (1976)
8. Cutler, C.R., Ramaker, B.L.: Dynamic matrix control, a computer algorithm. In:
Proceedings of Automatic Control Conference, San Francisco, CA (1980)
9. Garcia, C.E., Morshedi, A.M.: Quadratic programming solution of dynamic matrix
control (QDMC). Chemical Engineering Communications 46, 73-78 (1986)
10. Clarke, D.W., Mohtadi, C., Tuffs, P.S.: Generalized predictive control. Part1: The
basic algorithms. Automatica 23, 137-148 (1987)
11. Clarke, D.W., Mohtadi, C., Tuffs, P.S.: Generalized predictive control. Part2: Ex-
tensions and interpretations. Automatica 23, 149-160 (1987)
12. Yuan, P., Zuo, X., Zheng, H.T.: State variable feedback predictive control. Auto-
matica Sinica 19, 569-577 (1993)
13. Rovnak, J.A., Corlis, R.: Dynamic Matrix based Control of Fossile Power Plant.
IEEE Transactions on Energy Conversion 6(2), 320-326 (1991)
14. Sanchez, L.A., Arroyo, F.G., Villavicencio, R.A.: Dynamic Matrix Control of Steam
Temperature in Fossil Power Plant. In: IFAC Control of Power Plants and Power
Systems, Cancun, Mexico, pp. 275-280 (1995)
15. Hua, Z., Hua, H., Lu, J., Zhang, T.: Research and application of a new predictive
control based on state feedback theory in power plant control system. In: IEEE
Congress on Evolutionary Computation, pp. 4378-4385 (2007)
16. Moon, U.C., Lee, K.Y.: Step-Response Model Development for Dynamic Matrix
Control of a Drum-Type Boiler-Turbine System. IEEE Transactions on Energy
Conversion 24(2), 423-430 (2009)