阶梯式多变量DMC分散优化算法及工程化实现

Stair-like Multivariable Decentralized Optimization DMC Algorithm and Engineering Implement

提出基于状态空间模型的阶梯式多变量动态矩阵控制分散优化算法,使计算量大大减少,并在自行研制的先进控制平台上,实现了这种算法。该算法的工程化实现方法,使用户可以方便地构建自动控制系统并实施多变量动态矩阵控制。对双容水箱的控制实验表明,该控制算法对具有多变量、时滞、耦合和不确定性的复杂对象,具有良好的控制效果。

A stair-like decentralized optimization dynamic matrix control （DMC） algorithm tor multivariable systems based on state-space models was proposed. The new algorithm can reduce the calculation significantly and was implemented in the advanced control platform self-developed. The algorithm implement method in engineering allows user can easily build an automatic control system, which operates on stair-like multivariable DMC （StairMDMC）. The control experiments of tank with double columns show that the StairMDMC has excellent effects to the complicated plants with multivariable, time delay, coupling and uncertainty.