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Abstract—Dynamic Matrix Control algorithm is a predictive control algorithm based on step response of the object,suitable for complex control systems and the process whose mathematical model is difficult to be established precisely. In the article,the
dynamic matrix control algorithm has been studied, we analyse the impact on system control quality using dynamic matrix control algorithms with different setting parameters , and make simulation in the thermal power plants control process. The
simulation results show that dynamic matrix predictive control algorithm can achieve good control effect in the process.

Keywords- dynamic matrix control(DMC); predictive control; setting parameterst.


INTRODUCTION
After 30 years of development, Predictive Control, which has achieved good results in the metallurgy, chemical industry,machinery and oil plants ,and, has also made great progress by leaps and bounds in theory, becomes a model for process control. At present, the typical practical control algorithms are dynamic matrix control (DMC), model control algorithm (MAC), generalized predictive control (GPC), and so on[1].
Dynamic Matrix Control (DMC) algorithm ,which is brought up in 1980 by Cutler, as one of the predictive control algorithms ,is a step response based on the object model, combined with the implementation of a rolling correction of the feedback optimization control algorithm[2]. DMC algorithm is applied to the linear object which is gradually stable. The algorithm, has got very successful application in industrial process control,such as in the metallurgy, chemical industry, machinery and oil plants,because of its more simple, less calculation and robustness[3].