Research of Reheated Steam Temperature Multi-Model Predictive Control for 1000MW Ultra-Supercritical Unit

In this paper, targeted at reheated steam temperatures large time delay and strong nonlinearity characteristics in power plant, a multi-model predictive control strategy is proposed in light of the nonlinear characteristics of steam temperature control. This strategy utilizes the linearized model of nonlinear process at multiple working points to divide the process into several subspaces. A relatively accurate fixed model can be found in each subspace. Based on this, a global approximation model of complex object could be obtained. Simulation and application results show no matter for stable or load varying process, reheated steam temperature can be maintained in the required control range. It is much superior to the traditional PID control method.

[1]  Un-Chul Moon,et al.  Temperature Control of Ultrasupercritical Once-through Boiler-turbine System Using Multi-input Multi-output Dynamic Matrix Control , 2011 .

[2]  T. Yamanaka,et al.  Model predictive control of nonlinear processes by multi-model approach , 1991, Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation.

[3]  Mayuresh V. Kothare,et al.  Stability analysis of a multi-model predictive control algorithm with application to control of chemical reactors , 2006 .

[4]  B. Aufderheide,et al.  Automated regulation of hemodynamic variables , 2001, IEEE Engineering in Medicine and Biology Magazine.

[5]  B. Wayne Bequette,et al.  Experimental Studies on Automated Regulation of Hemodynamic Variables , 2022 .

[6]  Bjarne A. Foss,et al.  An interpolating model predictive control strategy with application to a waste treatment plant , 1997 .

[7]  Hua Zhi-gang RESEARCH AND APPLICATION OF STATE VARIABLE-PREDICTIVE CONTROL IN 600MW UNIT REHEATER TEMPERATURE CONTROL SYSTEM , 2005 .

[8]  Luo Gui-ming Applications of improved least-squares algorithm in main steam temperature control system , 2008 .

[9]  Liu Chunyong Engineering Application of Superheated Steam Temperature Control Strategy for Utility Boiler Based on Internal Model Control Principle , 2007 .

[10]  Doug Cooper,et al.  A Practical Multiple Model Adaptive Strategy for Multivariable Model Predictive Control , 2003 .

[11]  Ma Ning STUDY ON SUPERHEATED STEAM TEMPERATURE CONTROL BASED ON INTELLIGENT PI OF FUZZY NEURAL NETWORKS , 2007 .

[12]  Wang Jian-qiang Multi-variable model predictive control of steam temperature in 600 MW boiler , 2011 .

[13]  Zhu Li-ling The Main Stream Temperature Control System Based on ADRC Technology , 2006 .

[14]  B. Wayne Bequette,et al.  Extension of dynamic matrix control to multiple models , 2003, Comput. Chem. Eng..

[15]  Li Donghai Field application of multiple model predictive control for superheat temperature in boilers , 2010 .