一类非最小相位对象的内模预测控制:SISO情形

Internal Model Predictive Control for One Class of Non - minimum Phase Plants

针对一非最小相位对象,在内模控制结构下,根据预测控制机理来直接优化设计一非因果FIR(有限脉冲响应)型控制器,提出了基于奇异值分解(SVD)的控制器系数估计算法.该控制方法既保留了预测控制滚动优化的特点,又保持了内模控制对偶稳定性的特性,是一种稳定化的预测控制新策略.

Under the internal model control structure, a SVD - based algorithm is proposed to estimate the coefficients of a non - causal FIR - typed controller for the non - minimum phase plants according to the predictive control strategy. This method maintains the rolling optimization in predictive control and dual stability in IMC, and is a new stabilization approach for the predictive control.