多变量广义预测控制及一种简化算法

Multivariable generalized predictive control and a reduced method

推导了多变量广义预测控制算法,该算法能有效地处理过程的不稳定性和非最小相位特性,并具有良好的解耦性能。同时提出一种处理纯滞后对象的新方法,即将近似法和广义预测控制相结合解决时滞的方案。这种方法可以解决通道之间时滞不同的对象,并且针对广义预测控制算法的复杂性对其简化算法(多变量单值广义预测控制算法)进行了研究。通过仿真研究表明,多变量单值广义预测控制算法在跟踪性、鲁棒性、抗干扰能力等方面都得到很好的控制效果。

Multivariable generalized predictive control （MGPC） algorithm was deduced in this paper. It can effectively handle the instability and the non-minimum phase of the process. Furthermore, it has good decoupling performance. A new method to handle the pure delay of a process by combining the approximation method with the generalized predictive control was proposed, and the different time delay could be handled. A reduced method was presented i.e. multivariable single generalized predictive control algorithm to simplify the complexity of MGPC. Simulation shows that this algorithm achieves a good result in tracing property, robustness, antiinterference etc.