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动态矩阵控制（ＤＭＣ）算法是一种基于被控对象的阶跃响应、适用于渐进稳定的线性对象的预测控制算法，它具有结构清晰、算法简单的特点．但由于其参数仅间接影响控制系统的性能，与控制的快速性．稳定性、鲁棒性、抗干扰性等没有直接的解析关系可作为设计的定量依据，给设计者造成很大的困难．本文提出了运用满意解原理，通过仿真进行参数优化的方法，可为ＤＭＣ算法的参数设计提供参考．
The dynamic matrix control (DMC) algorithm is a predictive control algorithm based on the step response of the controlled object and applicable to asymptotic stable linear objects. It has the characteristics of clear structure and simple algorithm. However, due to its parameters only indirectly affect the control system performance, and the control of the rapid. There is no direct analytical relationship between stability, robustness, anti-interference, etc. as a quantitative basis for the design, causing great difficulties to designers. In this paper, we propose a method to optimize the parameters through simulations by using the principle of satisfactory solution, which can provide reference for the parameter design of DMC algorithm.